Datasets:

nathansutton

/

data-science-job-descriptions

like 1

Data Science Director

Altoida

Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida.  Altoida’s culture is united around six core principles: - Patient-First - Open Communication - Collaborative  - Reliable - Embrace Positive Change - Think and Build at Scale We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development. Responsibilities (Leadership) Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy  Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation Responsibilities (Data Science) Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference  Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results  Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact  Serve as an ambassador for Data Science at Altoida by presenting and publishing articles Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable  Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs  Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy  Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations  Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale  Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols  Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects  Keep pace with latest developments in the field and mentor associates accordingly Responsibilities (Operational Excellence) Accountable for design and timely delivery of the digital / data science strategies  Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards  Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable Desired Skills and Experiences 10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development  Executive-level communication skills for cross-functional collaboration across teams  Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems  Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation  Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses  Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements  Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization  Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA  Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages The position is remote with Greater Boston, MA candidates preferred. Minor travel is expected. Compensation Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience. Location Altoida’s US headquarters is located in Washington, DC. The position is remote. Equal Opportunity Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

Senior Data Scientist

Veeva Systems

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.    Your analysis will shape the product roadmap for a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.  We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.   You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it. What You'll Do Adopt the latest technologies and trends in NLP to your platform Experience with training, fine-tuning, and serving Large Language Models Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading Deeply understand and analyze our data model per data source and geo-region and interpret model decisions Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production Requirements 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree) Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar Familiarity with large-scale data processing and analysis, preferably within the medical domain Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers) Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX) Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)  and experience with bashing script Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team Used to start-up environments Social competence and a team player High energy and ambitious Agile mindset Nice to Have Background in Medical NLP Experience in the life/health science industry, notably pharma Having published in AI space in a peer-reviewed journal Production-grade Development Skills Leadership skills and a solid network to help in hiring and growing the team Experience with NoSQL databases, especially MongoDB Familiarity with model registry solutions such as MLflow Perks & Benefits Work anywhere Personal development budget   Veeva charitable giving program Fitness reimbursement Life insurance + pension fund #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

Staff Data Scientist

Slack

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryDataJob DetailsSlack is looking for an experienced data scientist to join our Business Analytics team. In this role, you will be responsible for leveraging data to help drive the growth and success of the Slack Business Unit. The ideal candidate is a strong communicator, can operate independently with minimal guidance, has a growth mindset, collaborates effectively with others, and biases towards action and impact.The Business Analytics team is focused on helping executives and other key decision makers across the company make better decisions using data. We work closely with Data Engineering and Business Intelligence, other Data Scientists at Slack and our partners in Product, Engineering, and the Slack Distribution teams to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing Partner with Slack Distribution teams to understand the drivers of our business and accelerate growth Synthesize insights into crisp narratives and present to senior leadership  Develop frameworks for identifying patterns/trends in customer behavior and implement them in predictive scoring models Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics Work with our Data Engineering and Business Intelligence teams to build core data models that power operational and exploratory data analyses What you should have 4+ years of professional industry experience doing quantitative analysis A degree in Economics, Physics, Statistics, Math, or other quantitative field (advanced degrees are a plus) Proficient in SQL and at least one programming language for data analysis (e.g. Python, R) Experience with statistical and machine learning methods to build descriptive and predictive models AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/For Colorado-based roles, the base salary hiring range for this position is $156,800 to $215,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Sr Staff Data Scientist Ecosystem

Pinterest

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.  We are looking for a Senior Staff Data Scientist for Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Build a deeper understanding of our Pinterest ecosystem. This person will work with Core and Monetization leaderships and will require a very senior person to effectively cut through the noise and influence across pods and orgs. Sample projects:  Tradeoff between organic and ads Relationship between engagement metrics & monetization The value of repin behaviors to purchase decisions  Levers to move enterprise metrics  Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we’re looking for 10+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions This position is not eligible for relocation assistance. #LI-REMOTE #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $158,950—$327,000 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

Staff Data Scientist Growth

Pinterest

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.  We are looking for a Staff Data Scientist to join our Growth org. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and up-level our product development teams in the Discovery org while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Deep strategic analysis to Answer growth ecosystem questions such as how to drive long term user engagement and how to balance monthly active user growth and overall user engagement. Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our internal strategy to address shortcomings observed through deep analysis.  Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies. How do we segment users and provide more personalized experiences for different segments users? Experimentation: Evolve our experimentation capabilities and tools to evaluate the changes we make to our growth levers. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; collaborative design of new multicell experiment frameworks, counterfactual logging, etc. Creating and tracking success metrics. Identify the right measures of success for product teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements.  Leadership: Lead and mentor the scope of work for at least one other individual, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we’re looking for: 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. Proven ability to apply scientific methods to solve real-world problems on web-scale data. Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams. Experience leading key technical projects and substantially influencing the scope and output of others. Leadership. Comfortable to leverage expertise to influence others instead of authority. Resourceful and being a resource to solve Pinterest’s business problems in the face of constraints. Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month). Data skepticism and curiosity. Doesn’t think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets. Strong communication skills. Explains work and thought processes clearly and concisely. Willingness to dive in and do work, even if it’s not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn’t think any work is below them. Interest in repeatable analysis. Seeks to automate where possible, strives for solutions that can be repeated on new datasets. Desire for simplicity. Don’t strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful. Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn’t write elegant solutions to the sorts of algorithm questions often found in coding interviews. What skills are ideal but not required? Exposure to one or more of the following areas is beneficial. Ideal candidates would have exposure to 2+ of these areas and deep familiarity in 1 or more areas. Strongly desired: experience working in Growth function, in particular, experience working on SEO, logged out user experience, user activation and sharing/messaging. Strong Experimentation background. Experience with working on experiments with network effects. Statistical rigor. Experience with causal inference projects. ML modeling, ideally with biased / incomplete training data. Has built models end to end (feature design, feature selection, training data, implementation, iteration) and can intelligently discuss trade-offs / decisions at each step. This position is not eligible for relocation assistance. #LI-REMOTE #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $135,150—$278,000 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

Staff Data Scientist Browse Discovery

Pinterest

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.  We are looking for a Staff Data Scientist for the Discovery org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams in the Discovery org while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest Mentor other Data scientists in the Core PADS organization to uplevel the teams What we’re looking for: 9+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions This position is not eligible for relocation assistance. #LI-REMOTE #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $135,150—$278,000 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

Sr Data Scientist Search

Pinterest

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.  We are looking for a Sr. Data Scientist for the Search org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we’re looking for: 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions This position is not eligible for relocation assistance. #LI-REMOTE #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $114,750—$236,000 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

Sr Data Scientist Growth

Pinterest

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.  As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we’re looking for: 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions This position is not eligible for relocation assistance. #LI-REMOTE #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $114,750—$236,000 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

Senior Data Scientist

Proofpoint

It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.This is a remote, full-time position. About the OrganizationML Labs is an internal machine learning group that consults across Proofpoint's entire product portfolio. Over the past several years, our teams have developed data-driven product features, leveraging a range of model architectures from tree-based models to state-of-the-art Transformers. Each new project surfaces novel puzzles to be solved, while production deployments to our cloud ML Platform expose new MLOps challenges. Recently, our organization began spearheading company-wide initiatives around large language models and their applications to the business by creating resources, putting together project teams, and organizing hackdays.About the TeamThe Protection team has produced features enabled by machine learning since early 2022 for three different Proofpoint products: Digital Risk (3 models in production), Cloud Protection (1 model in production), and Enterprise DLP (2 models slated for production). We are a small but growing team with ample opportunities for ownership and impact, guided by our four values: Human Beings, Not Human Doings: We bring our whole self into every part of our work. We possess worth and value beyond our code. Humble But Confident: We are confident in our current abilities while celebrating the strengths of our team and our own areas for growth. Openly Collaborative: We strive for pristine documentation, transparent chat rooms, and realistic management of tech debt and tribal knowledge. Impactful Innovators:We seek and scope meaningful work that we approach creatively but efficiently. We currently have three technical members and are looking to add a Senior or Staff data scientist as described below.What You'll Do: Mentor junior data scientists across ML Labs through individual project meeting and technical deep dives Support junior technical members on the Protection Team in modeling decisions within the Digital Risk and Cloud Protection spaces Build out more ML-enabled features within the Enterprise DLP and Cloud Protection spaces Participate in shaping and executing the Large Language Model strategy for our organization and for Proofpoint Coach summer and academic year interns through their project selection and technical decisions What You’ll Need: A proven track record for mentoring technical members in a professional setting A deep understanding of recent computer vision and natural language processing algorithms and architectures Fluency in the Python machine learning life cycle: designing, developing, deploying and maintaining models in production Proficiency in Linux commands, version control, unit testing, and containerization A strong grasp of traditional machine learning algorithms, both unsupervised and supervised Concrete rhythms for staying current with the rapidly evolving field of machine learning The ability to communicate concisely with a non-technical audience The ability to collaborate frictionlessly with a wide range of technical collaborators, both inside and outside the team The ability to manage several projects simultaneously, including scoping technical tasks and effectively communicating progress toward milestones A minimum of 5 years of industry experience (graduate work will be excluded) What Will Help: Previous professional experience at a SaaS company Knowledge of infrastructure-as-code tools such as CloudFormation or Terraform and public cloud services such as AWS or Azure A graduate degree in Statistics, Machine Learning, Computer Science, or technical field Interest in computer, network, or email security #LI-PHIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable pay and/or equity. We offer a competitive benefits package that includes flexible time off, a robust well-being program that provides for 4 global wellbeing days per year, and a 3-week work from anywhere option.Base Pay Ranges:SF Bay Area, New York City Metro Area:Base Pay Range: 157,650.00 - 231,220.00 USDCalifornia (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:Base Pay Range: 129,000.00 - 189,200.00 USDAll other cities and states excluding those listed above:Base Pay Range: 117,600.00 - 172,480.00 USD

Lead Data Scientist

Comcast

Job Summary The Data Science team builds the end-to-end systems and tools that democratizes machine learning to meet the needs of business by partnering with key internal and external stakeholders to enable data scientists to build and deploy machine learning solutions at scale. Role Description: Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision making process. Provides input into strategy, analysis methods, and tool selection. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously. The team is composed of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Comcast data science based services and deployments. Job Description Core Responsibilities With minimal supervision, interpret problems and handle short term tasks using existing procedures and framework. Provide solutions to business problems by leveraging data analysis, data mining, optimization tools, machine learning techniques and statistical methods such as clustering, regression and classification.Work with large, noisy, and complex datasets to produce meaningful analysis of historical patterns of customer behaviors and product performanceApply scientific techniques to data evaluation, performing statistical inference and data miningUses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models).Build customer centric models and optimization tools to support large scale projects that utilize online & offline data, structured & unstructured data, set top box data and media/behavioral/attitudinal data.Researching and implementing algorithms and data-structures for our platformWork closely with data warehouse architects and software developers to generate seamless data science solutions for deployment.Document and present the data analysis and its conclusions for assessment by full-performance analysts, developers, and their managers.Interacts with product and service teams to identify questions and issues for data analysis and experiments.Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Consistent exercise of independent judgment and discretion in matters of significance. Competences: Experience articulating complex business questions for non-technical audience and using mathematical techniques to arrive at an answer using available data.Experience translating analysis results into business recommendationsProven skills in selecting the right statistical tools given a data analysis problem.Deep Learning and ML methodologies competenceAbility to lead data science teams and choreograph deliveryAbility to communicate complex concepts in easy-to-understand terminologyTeam player with a 'can-do' attitudeLean-forward bias to find opportunities and drive resultsAbility to work effectively across functions, disciplines, and levels Employees at all levels are expected to: Win as a team - make big things happen by working together and being open to new ideas.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities.Understand our Operating Principles; make them the guidelines for how you do your job.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Drive results and growth. Preferred Education Level: - Master's degree in Computer Science, Engineering, Operations Research or other quantitative field. Experience: - Requires 7-10 years relevant experience. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer. #EBICareers Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Education Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Data Scientist

Comcast

Job Summary Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously. Job Description Core Responsibilities Interacts with product and service teams to identify questions and issues for data analysis and experiments.Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.Develops and deploys predictive models based on historical data that provide future predictions about customer behavior.Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.Creates deliverables and presentations that report methodology and results of analysis.Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.Other duties and responsibilities as assigned. Preferred Qualifications Experience with tree based modelsTime series analysis experiencePandas and Spark exprienceMaster's degreeComfortable with data manipulation Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new ideas.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Drive results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.Comcast is an EOE/Veterans/Disabled/LGBT employer. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance. Education Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years Salary: National Pay Range: $76,252.37 USD-$178,716.49 USD Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Cybersecurity Data Scientist Manager

Comcast

Job Summary ABOUT CTS CYBERSECURITY You will be an innovator in the Cybersecurity division of Comcast Technology Solutions (CTS). (https://www.comcasttechnologysolutions.com/about-us) This division specializes in offering Software-as-a-Service (SaaS) and subscription-based security solutions to large enterprises and the federal government. For the first time ever, customers are now able to purchase some of the best of Comcast’s own in-house security technologies (https://www.comcasttechnologysolutions.com/cybersecurity-suite). These solutions are proven-at-scale to defend critical infrastructure and effectively reduce cost. The Cybersecurity Suite efficiently improves security and compliance while keeping costs in check. Job Description Summary Responsible for leading a team which extract knowledge and insights from high volume, high dimensional data in order to allow customers to investigate sophisticated business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of sophisticated statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition. Responsible for leading a team which craft, develop and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for customers. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. Leads a team including US and India-based members. Provides subject matter mentorship to employees as the need arises. Helps to develop processes and procedures to drive department efficiencies. Assists in development and meeting of departmental budget. In the role of Cyber Data Scientist Manager, you will be an important contributor within Comcast Technology Solution’s exciting new cyber security business unit, which sells SaaS and subscription security solutions to the large enterprise and federal government. Working with the Vice President of Engineering Cyber, you will be primarily responsible for developing analytics and data exploitation solutions for DataBee, a new SaaS security, risk and compliance platform that was developed internally and used inside Comcast’s SOC, and is now being made available for use by the Fortune 500 CISO customer base. You will work in a high pace, collaborative engineering environment to deliver value for DataBee customers. In addition to leading and mentoring a team of software engineers, you will also be a senior individual contributor. You will be influential in crafting a startup culture for the DataBee business unit, enabling and empowering your teammates to work in an agile fashion. Job Description Core Responsibilities Interacts with product and field engineering teams to identify questions and issues for data analysis and experiments.Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Uses analytical rigor and statistical methods to analyze large amounts of data, extracting practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statisticsLeads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.Understand platform usage and assist with production deployments and customer issue triage.Develop security features as part of the development and adopt the DevSecOps culture.Use and improve on tools to identify and mitigate production incidents.Build re-usable software components or libraries that can be used by multiple teams, where needed.Build self-contained microservices or application programming interfaces to support the business logic.Use content management systems as applicable and global design patterns and defined coding standards and practices established by the team.Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as vital.Other duties and responsibilities as assigned. Additional Required Skills and Experience: Expertise in Python.Proven expertise developing analytics in Databricks and/or Spark.Experience developing and implementing microservices containing sophisticated analytical logic.Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance and/or threat hunting.Experience in parsing and cleansing data. Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization.Experience working in Agile Scrum development environments.Experience working with GitHub and Jira or similar technologies.Experience using Python unit test frameworks.Experience using Docker.Experience developing on a SaaS product. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job.Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.Know your stuff - be hard-working learners, users and advocates of our groundbreaking technology, products and services, especially our digital tools and experiences.Win as a team - make big things happen by working together and being open to new insights.Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.Get results and growth.Respect and promote inclusion & diversity.Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been crafted to indicate the general nature and level of work performed by employees in this role. It is not crafted to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an EOE/Veterans/Disabled/LGBT employer. #workforComcast_CTS Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years Salary: National Pay Range: $96,525.18 USD-$226,230.89 USD Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Senior Data Scientist

Uplift

Uplift’s mission is to help people get more out of life, one thoughtful purchase at a time. Our enterprise Buy Now, Pay Later solution is used by the world’s most loved brands including Southwest Airlines, Carnival Cruise Line, Universal Studios, and more. With flexible pay over time installments, we empower consumers to buy what matters most while unlocking higher conversions and customer lifetime value for our partners.  Our team is rapidly growing and comes from diverse backgrounds of leading technology and financial brands. Our HQ is in Sunnyvale, California with offices in Toronto, Ontario, New York, Reno, Nevada, and Guadalajara, Mexico. Working at Uplift allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. As a Data Scientist, you will be responsible for finding solutions to complex challenges that shape Uplift's future. We currently have one open data science role focused on building credit and fraud models to improve Uplift's risk decision-making. You will be involved in the entire model-building process, from feature engineering to model production and performance monitoring. Through time you will also get exposed to challenges related to payment processes and loan sale allocation strategies. What you will do and achieve Create actionable machine learning or statistics-based solutions for complex problems, with an initial focus on the mentioned topics above Represent data science in the development and implementation of problem solutions Collaborate with product and engineering teams to ensure the creation of impactful and actionable data science solutions Develop different approaches that balance ease of implementation with accuracy Who you are Master’s or PhD in Computer Science, Physics, Mathematics, Finance, or other quantitative fields Minimum two years of experience building machine learning models Proficient with Pyspark  Familiar with A/B testing, and preferably have several years of experience in it Set yourself apart with Experience using Databricks and its capabilities Experience working with another BNPL company is a plus Life at Uplift Health Insurance and 401k plan: some plans cover 99-100% premiums for medical, dental, and vision insurance and a 401k plan Work/Life Harmony: Flexible, remote-first work culture. Uplift fosters a culture where employees can achieve both their professional and personal goals. This balance is especially true for our working parents Shared Success: competitive salary and Pre-IPO stock options Health and Wellness Perks: Uplift is proud to reimburse our employees for exercise, wellness products and activities as well as free counseling and coaching for physical, mental and emotional support Professional Development: We are committed to the growth and development of all of our employees. Uplift invests in professional conferences, certifications, and training for employees who want to grow in their careers Pick-A-Perk: money that can go towards something of your choosing within tuition reimbursement, student loan payment reimbursement, vacation savings account, charitable donations, or home office expenses  At Uplift, in accordance with the U.S pay transparency laws across various states, we provide the minimum and maximum pay range for each of our levels. This reflects the minimum and maximum ranges for new hire salaries. There are two ranges that reflect positions across all US locations. The first range includes: New York and California whereas the second range includes all other US states. Within each range, there are several different factors that are considered when determining compensation including but not limited to the candidate's location, title, years of experience, job related skills and relevant education.  In addition to the base salary, we offer competitive benefits including medical, dental and vision and pre-ipo stock options. $130k to $165k $121k to $152k #LI-Remote #LI-BC We want you! If you made it this far, chances are you’re as excited about working to change how people experience BNPL as we are — and we love that. Please apply even if you’re unsure about whether you meet every single requirement in this posting. Uplift is looking for smart, intellectually curious people who are invested in our mission, not just those who can “check all the boxes”. Uplift is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Note: Uplift does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Uplift is not responsible for any fees related to unsolicited resumes.

Senior Data Scientist I Nlp

Evisort

Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company’s superhero. We create cutting-edge AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and manage risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions. By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth. The Role: Evisort’s Data Science team is at the core of its business. We are seeking a senior data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it. What You’ll Do: Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform. Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction. Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment. Stay up to date with emerging technologies in GenAI/LLM field and recommend improvements to existing models/ designs Own design, implementation, and deployment of your models and see them deliver business impact. Mentor other team members and continuously further the Data Science organization. Guide design, architecture, tooling, and processes at the organization level. Skills/Qualifications: 3+ years of ML experience in the industry, startup experience is a plus 3+ years working with deep learning in NLP, additional experience with Computer Vision is a plus Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering) Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch) Experience using distributed processing architecture and ML/ Data platforms (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); building experience is a plus Ability and motivation to stay up to date with the very fast-moving NLP space Able to communicate results clearly to non-technical audiences with a focus on driving impact A strong team player but still a self-starter who thrives in a fast-paced, high-growth startup environment Someone who flourishes when given responsibility and a sense of ownership BA/BS degree or higher from an accredited university Evisort is an E-verify employer. Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.

Principal Data Scientist

Myfitnesspal

At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe good health starts with what you eat. We provide the tools and resources to reach your fitness goals. Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Data Science team, you’ll have the opportunity to positively impact those users by creating the predictive models and AI that drives the MyFitnessPal ecosystem. In addition to technical expertise and passion, you’ll find that your teammates value collaboration, mentorship, and inclusive environments. Essential Duties:The Principal Data Scientist is responsible for leading the technical implementation of bleeding edge AI products. You will be responsible for technical design, delivery and maintenance of a new machine learning platform that will support multiple business purposes and application features. To thrive in this role, you will execute well in an agile environment where we’ll depend on you to make pragmatic decisions, establish and use tight feedback loops, and take calculated risks based on your knowledge from collaborating with your peers. You’ve led technical design and mentored data scientists before, and are comfortable delivering and receiving feedback with trust and candor. You know that MyFitnessPal’s success is dependent on the success of the entire data science team, and you’re committed to coach and mentor a team of experienced engineers and data scientists. This is an individual contributor role with strong mentorship expectations and the potential for people management based on the candidate. About our team:MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world’s largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies, services and/or languages we work with: MySQL, Snowflake, Databricks, Elasticsearch, Python, SQL, Kubernetes, Docker, Scale.ai, AWS Ground Truth, Doccano. What you’ll be doing:  Be a hands-on leader of data scientists and ML engineers responsible for the technical design, build and maintenance of ML models that drive a personalized experience throughout the MyFitnessPal user journey Promote the professional growth and happiness of teammates through mentorship, coaching, and encouraging positive, fearless, and trust-based collaboration Evaluate and improve existing systems to provide more robust solutions that allow others to move quickly and efficiently Partner with product engineering, data engineering, and data operations to ensure the team adopts best practices for code development, DataOps/MLOps, testing, data quality, and quality assurance Support resolution of production issues with ML model-driven production features Work with our engineering, data science, product and leadership teams in support of MyFitnessPal to solve critical user problems. This is a broad surface area and uses a variety of technologies Hold others accountable while demonstrating integrity and compassion Live our core values in all you do: Be Kind and Care Live Good Health Be Data-Inspired Champion Change Leave it Better than You Found It Make It Happen Qualifications to be successful in this role:  10+ years of machine learning experience in a production setting, with extensive experience in NLP, personalization/ranking, and/or deep learning Deep knowledge of AI architectures, ML algorithms, and generative AI and LLMs Demonstrated AI/ML product development from inception to deployment and maintenance Experience working and innovating on a centralized Machine Learning platform supporting multiple production features / models A high degree of technical understanding to be able to closely collaborate with engineers and ML practitioners and being additive in strategic discussions about MFP’s future product offering Excellent written communication skills and ability to present technical content to non-technical audiences. Ability to partner with different functions to ensure that your solutions drive real business impact Strategic thinking and ability to incorporate larger business context into algorithm and product development Help other teammates grow through mentorship and coaching Can quickly assess complex problems and facilitate group discussions to identify solutions and generate appropriate milestones and tasks Have a solid understanding of what it takes to build production ML-models used in consumer applications Strong proficiency in programming languages such as Python, R, and SQL Have a Master’s degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field (or otherwise equivalent and extensive real-world experience)   Please consider applying even if you don’t meet 100% of the qualifications. Research shows you can still be considered for a position if you meet some of the requirements. At MyFitnessPal, we’re building a fitness product for everyone and believe our team should reflect that. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

Senior Data Scientist

Pie Insurance

As an AI/ML Senior Data Scientist, you will work with Pie’s data science, data/ML engineering, and product teams to conceptualize, build and enhance data-driven AI/ML solutions to address business challenges–having the opportunity to immediately impact various business functions through your efforts. As Senior Data Scientist, you will also get to explore the frontiers of deep-learning, Natural Language Processing/Generative AI, along with supervised/ unsupervised/semi-supervised ML algorithms to build more elegant ML solutions, engineer novel features, and construct automated capabilities. Ultimately, you will help ensure that using AI/ML is key to how we operate, and as easy as Pie. How You’ll Do It Working collaboratively with our Product, Data Engineering and MLOps teams, you will be actively involved in the entire Model Development Life Cycle from conceptualization to deployment. You will help conceptualize, design, generate and test hypotheses, construct features, build and validate models–leveraging your deep-learning and NLP skills to develop language-based features, build semantic indexing, construct domain-specific corpus, fine-tune pre-trained models, and build foundation and/or generative ML solutions. The Ideal Candidate Will Be Able to - Understand analytics & modeling needs; build validated data pipelines to extract internal and external data, conduct exploratory analysis  Build new high-signal features; build, strengthen, and validate robust AI/ML solutions Develop and implement feature engineering strategies to extract meaningful features from raw structured data and text-based data to optimize model performance Conceptualize, prototype, and implement Generative and Augmented AI solutions, leveraging LLM, Image processing, and deep-learning capabilities  Work with both data engineering and analytics teams to find useful data sources; ensure data quality and consistency The Right Stuff Bachelor's Degree required, Master’s Degree preferred 5+ years experience as a data scientist  Building and delivering data solutions for a company that uses data as a primary aspect of its business 3+ years experience in building NLP-based solutions Technologies: Hands-on experience with Deep Learning frameworks such as PyTorch Cloud data warehouse experience Experience writing reusable, OO ML functions in Python Strong experience in writing complex SQL programming/queries Exposure to one major SQL RDBMS or analytics database (Snowflake, Redshift, MySQL, Postgres, Oracle, SQL Server, etc.) Deep experience in data wrangling: Data extraction, transformation, and cleansing Text pre-processing Data profiling and visualization Analytical prep-work for predictive modeling Automated data validation Managing and maintaining metadata and corresponding data dictionaries Communication & collaboration in an agile environment: Experience collaborating with data engineers, analytics, software engineers, product managers in delivering ML models and data products Ability to work in a fast-paced, agile environment and handle multiple projects simultaneously Strong problem-solving and analytical skills Proven experience identifying opportunities to automate data wrangling and analytics tasks and workflow Experience with end-to-end product development using machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and deep learning Additional preferred skills: Industry experience within insurance or financial industries Experience with Langchain, semantic indexing, vector database(s), implementation of open-source language models Experience with design and development of Knowledge Graph Experience with data processing frameworks and tools such as Spark/databricks, Snowflake Familiarity with data visualization tools such as Tableau, Power BI, Dash, or matplotlib

Data Scientist

Ascend Analytics

¬† Data Scientist, Boulder, CO or Remote within U.S.¬† ¬† Your Impact at Ascend Analytics¬† As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of classical and deep learning ML approaches and ability to implement them in Python. Familiarity with electrical energy systems and markets is preferred.‚ÄĮ‚ÄĮ¬† Ascend Analytics is an innovative ‚Äúclimate tech‚ÄĚ software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com.¬† Job Responsibilities¬† Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms¬†¬† Experiment with different data science modeling approaches (e.g. deep learning, regression, boosting, trees, etc.) in Python and research state-of-the-art modeling techniques that could apply to energy forecasting problems¬†¬† Develop new model features in coordination with SMEs¬†¬† Optimize and enhance computational efficiency of algorithms and software design¬†¬† Develop both prototype models and production software‚ÄĮ¬†¬† Supporting existing commercial software and production systems‚ÄĮ¬†¬† This position also involves algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, and planning and control of electric battery storage.‚ÄĮ¬† Required Qualifications¬† Bachelors Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline¬† 1+ years of industry or academic experience in the field‚ÄĮ¬† Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)‚ÄĮ¬†¬† Time series modeling and advanced statistics‚ÄĮ¬†¬† Ability to communicate with impact and confidence, both verbally and in writing‚ÄĮ¬†¬† Strong interpersonal skills, teamwork skills, and work ethic‚ÄĮ¬†¬† Interest in learning about and deploying novel software solutions‚ÄĮ¬†¬† Prior knowledge of, or strong interest in learning about wholesale electricity markets‚ÄĮ¬† Compensation: $80,000 - $130,000¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬†¬† Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.¬† We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.¬†¬† We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.¬†¬†¬† Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at recruiting@ascendanalytics.com¬†

Forecast Analyst Retail Call Center Workforce Management

Cvs Health

Job DescriptionThis position is responsible for maintaining the entire forecast process, (contact volume, average handle times and shrink), within our multi-channel (inbound, outbound, digital, etc.) Retail Customer Care organization. This person will be charged with fine tuning and maintaining advanced projection models that drive positive customer and colleague experience while maintaining financial obligations. These models will include machine learning development and advanced statistical analysis. This position will work closely with business leaders to gain insight into day-to-day operations of the organization and project impact of future initiatives. As such, partnership with all areas of the business and quantifying impact will be a critical requirement of this role. Candidates should be experienced in analytical and critical-thinking skills, machine learning methodologies, leadership communication, contact workforce management experience, and have a proven track record of collaboration within cross-functional organizations.• Serves as the forecasting and projection subject matter expert with Business Unit Leadership. Assesses and quantifies risks and costs that would impact the Business Unit and drive Revenue capture• Utilizes advanced programming languages (SQL, Python, R) to manipulate machine learning, forecast, and projection models that operationalize, optimize, and drive business performance. • Drives performance improvement through constant communication with other areas of WFM, as well as Operations, regarding all drivers (quantifiable or not) that impacted any variances to forecasted volume, AHT or Shrink.• Partner with contact center Vendors related to monthly lock process that facilitates partnership and collaboration between our internal and vendor objectives. Pay RangeThe typical pay range for this role is:Minimum: 40,560Maximum: 83,400 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits Required Qualifications• 2+ years of experience in forecast and predictive modelling within a multi-channel organization • 2+ years of experience steering business unit level analysis and dissemination of information to all levels of leadership.• 2+ years of experience demonstrating high proficiency with standard corporate software applications, including MS Word, Excel, Outlook, and PowerPoint, as well as some special proprietary applications. Preferred Qualifications• 2+ years of Workforce Management experience• College Degree in related field preferred (Quantitative Analysis, Mathematics, Data Science)• A.I./Machine Learning validation, testing and parameter tuning• Experience in data analysis with the ability to write scalable, production-level code with SQL + Python or R in a cloud database environment (e.g. Snowflake, Teradata)• Data visualization development experience (Ex: Tableau or Power BI)• Demonstrated experience with Correlation Analysis• Demonstrated advanced Excel report development (e.g., Advanced Formulas, Power Pivot, Charts and Graphs, VBA & Macros, etc.) EducationVerifiable High School diploma or GED Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Apply

Lead Data Scientist Retail Payer Analytics

Cvs Health

Job DescriptionThe Analytics and Behavior Change team serves as a critical partner to the retail pharmacy payer analytics team, helping them to achieve core business goals related to reimbursement, pricing and margin driving initiatives. The team builds advanced analytic solutions (using Machine Learning and other statistical techniques) to identify opportunities, collaborate across other stakeholders in the organization to implement the strategy, and measure impact. Additionally, the team builds tools and capabilities to enable business units to design, run, and measure their own interventions.As a Lead Data Scientist, your role will entail:• Seeing projects through from inception to production.• Working with a wide range of problem domains, including time-series forecasting, classification, regression, clustering to name a few.• Coordinating regularly with technical teams (Analytics, Data Engineering, IT) as well as non-technical business stakeholders and senior leadership.• Collaborating closely with business partners to identify new use cases, perform root-cause analyses, support decision-making, and gain insights from data.• Accountability, work with a sense of urgency, possess strong critical thinking and analytical skills, and have passion for developing high-performing analytics solutions• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership• Mentoring junior team members to provide technical guidance Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit jobs.CVSHealth.com/benefits Required Qualifications• 6+ years of experience programming in SQL and Python• 3-5 years experience building machine learning and/or optimization models• Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science• Experience building and utilizing a robust experimentation framework (e.g., A/B testing) to measure performance of deployed models• Ability to communicate technical concepts and implications effectively to non-technical business partners• Experience working with data visualization platforms (e.g., Tableau)• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.• Capability to anticipate and prevent project roadblocks before they occur Preferred Qualifications• Experience with Palantir Foundry and Tableau• Strong understanding of health care industry, products, and systems • Experience with Spark/PySpark• Experience with cloud distributed-computing platforms (e.g., AWS, Azure Databricks, etc.), including querying/mining large datasets and deploying projects on cloud systems.• Knowledge of Git for version control.• Familiarity with working in an Agile framework. EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Apply

Research Scientist Responsible Ai

Cohere

Who are we? We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.  We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code. We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.  We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come. Why this role? Cohere For AI is the dedicated research arm of Cohere, and our mission is to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Cohere For AI intends to execute this mission through two different efforts 1) create spaces where engineers, researchers and multidisciplinary experts can connect and contribute to NLP and machine learning research, 2) provide research training that brings in new talent from across the world to the field of machine learning. As a research scientist, you have an independent high-impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work evidences a consideration for the societal and ethical implications of machine learning. You are interested in working on rigorously evaluating model risk at scale, efficient red teaming/alignment with human feedback, studying viable threat models in LLMs at scale, traceability guarantees, data governance and provenance, bias, and fairness. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community. Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role. As a Research Scientist, you will have: Ph.D or equivalent research experience Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields Have a demonstrated research interest and track record in one of the following domain areas: privacy, fairness, robustness, security, auditing tools, AI Safety, AI policy. Strong machine learning and NLP fundamentals, with a demonstrated ability to design and execute on a research agenda. You may be a good fit if you: Enjoy collaborating widely  Have a track record of mentorship and are excited to democratize access to machine learning

Principal Data Scientist Operations Research

Veho

About Veho Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before. As a Principal Data Scientist (Operations Research), you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho. You will Develop and implement models and algorithms to solve complex problems using operations research, statistics, and machine learning technologies Partner with functional areas (last mile, middle mile, ground operations, network planning) to develop to optimize our network across the board Deep dive into current operations research solutions to develop insights, and provide recommendationsImplement operations research improvement initiatives that impact metrics and streamline network operations Communicate with technical and business-oriented audiences What you bring Master or PhD in operations research plus experience developing and deploying optimization, predictive and machine learning models Strong knowledge in operations research concepts such as linear (LP), nonlinear (NLP) and mixed-integer programing (MIP), network optimization and simulation Experience with network optimization tools like OR-Tools, CPLEX, Gurobi, Xpress, COIN-ORPractical experience in developing large scale vehicle routing, network design, and warehouse solutions Software development experience deploying OR solutions into productionExperience using statistical modeling or machine learning techniques to solve business problemsExpert SQL and Python skills Familiarity with the gig economy space (preferred) $210,000 - $240,000 a year The base salary range for this position is $210,000-$240,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO. Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.  

Machine Learning Scientist Generative Ai

Tempus

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. We are seeking a highly skilled and innovative Generative AI Scientist to join our research and development team. As a Generative AI Scientist, you will play a crucial role in designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms specifically tailored for healthcare applications. Your work will contribute to improving patient care, optimizing clinical workflows, and advancing medical research. This position offers an exciting opportunity to leverage the power of generative AI to revolutionize healthcare and make a significant impact on people's lives. What you'll do: Build LLM-based and generative AI agents that solve impactful business challenges at Tempus across all our business units - touching on clinical notes, electronic health records, medical imaging, sequencing data, etc. Healthcare-focused Research and Development: Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Stay up to date with the latest advancements in the field and adapt them to address healthcare-specific challenges, such as medical image generation, drug discovery, patient data analysis, or personalized medicine. Model Design and Development: Design and implement generative AI models tailored for healthcare scenarios. Develop models that can generate realistic and high-quality medical images, synthetic patient data, or generate text-based medical reports Experimentation and Evaluation: Design and execute experiments to evaluate the performance and effectiveness of generative AI models in healthcare settings. Develop appropriate evaluation metrics that align with healthcare outcomes and clinical requirements. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs. Collaborative Teamwork: Collaborate closely with cross-functional teams, including healthcare professionals, data scientists, software engineers, and product managers. Leverage their expertise to guide your research, gain insights into real-world healthcare challenges, and translate your findings into practical solutions. Prototyping and Implementation: Develop prototypes and proof-of-concept implementations of generative AI solutions for healthcare. Work closely with engineering teams to integrate your models into healthcare platforms, systems, or applications. Ensure scalability, efficiency, and robustness of the deployed solutions. Regulatory Compliance and Ethical Considerations: Stay up to date with healthcare regulations, privacy laws, and ethical considerations relevant to the development and deployment of AI in healthcare. Ensure compliance with HIPAA, GDPR, and other applicable standards throughout the development process. Continuous Learning and Industry Engagement: Stay actively involved in the healthcare and AI research communities. Attend relevant conferences, workshops, and seminars. Publish research findings in reputable scientific venues. Collaborate with academic and industry partners to advance the state-of-the-art in generative AI for healthcare. Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Biomedical Engineering, or a related field. A strong academic background with a focus on generative AI and healthcare applications is highly preferred. Extensive experience in developing and implementing generative AI models, such as GANs, VAEs, and related architectures. Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch. Experience with healthcare-specific frameworks (e.g., DICOM, FHIR) is a plus. Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, and model Bias-to-action, appetite for high-risk high-gain projects with a pragmatic approach to rapid and measurable progress Strong track record in publications, patents, and/or launched products in this space Nice-to-haves: Experience working with sensitive healthcare data, medical imaging modalities, clinical workflows, and healthcare terminology. Familiarity with electronic health records (EHRs) and medical imaging formats (e.g., DICOM) is advantageous. Experience in late-stage startup environment Experience building and bringing practical use, knowledge graphs and graph-based machine learning models Expertise with embedding, multimodal fusion #LI-EV1

Data Scientist Product

Underdog Sports

What is Underdog? Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it! At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work. We are looking for intellectually curious, innovative and driven individuals to be the part of our Data Science - Product Analytics team. As a Data Scientist at Underdog, you’ll be guiding the next-gen AI powered gaming platform that will lead the sports gaming industry. You will be part of a team whose focus is to solve cutting edge data science problems in product. The ideal candidate will have a strong product sense and background in analytics and statistics. In this role, you will have a chance to shape strategy for critical product areas through data and will guide product development with relevant insights based on analysis. You will be the subject matter expert on metrics and success measurement, experiment design, and visual storytelling via data. You are focused on impact, and have the skills to understand customers and promote growth.  You should demonstrate curiosity, data fluency, and a collaborative work ethic.   Your role will be to take ownership of generating insights and recommendations to shape our product roadmap and go-to-market strategy. You will partner closely with Product, Engineering, Design, Marketing, UX Research, and Operations to define, prioritize and execute initiatives that drive business growth. You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey.  Please note, Underdog is a US based company and no sponsorship is available for this position at this time.  What you’ll do: Create edge-of-the-seat product and customer insights that enable Product Directors/Managers to define strategy and prioritize roadmaps  Influence decision makers in cross-functional teams by (re)defining key metrics of success, building data-driven narratives on growth opportunities, and sizing outcomes Partner with Product, Technology, Design, and other teams to ideate, test, and launch product features; own deep-dive analysis of post-launch impact and recommendations to optimize product experience Maintain a constant pulse on health of the business & product by tracking KPIs against targets and conducting investigations of key trends and their underlying drivers Design and execute experiments/AB tests, analyze/interpret results to impact product performance Implement analytical solutions to support key product objectives Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders Who you are: BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related academic/work experience 3 + years of experience in analytics, product strategy, management consulting, business intelligence, with experience analyzing large datasets and developing statistical solutions Experience influencing decision makers across cross-functional teams using insights generated through quantitative and qualitative data and analyses Ability to synthesize data into actionable insights across all levels of stakeholders (business, technical, and executives) Extensive experience with large-scale datasets using SQL and programming languages such as Python or R Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.) Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them Ability to work autonomously and lead initiatives across multiple product areas  Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders Even better if you have… Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP) Stay up-to-date with the latest trends and developments in product analytics and data science   Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave Company paid Health, Dental, Vision plan option for employees and dependents 401k Match & FSA Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST! A $500 home office allowance $100 in UD credit Support for learning and development Book club – expense your books! Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!) Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally! #LI-REMOTE  

Data Scientist Marketing

Underdog Sports

What is Underdog? Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it! At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work. We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our marketing capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of growth marketing. In this role, you will be responsible for analyzing marketing data to identify trends, patterns,and  delivering insights that will inform marketing strategy and drive business decisions. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in marketing. You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand user behavior, and to optimize the experience at all stages of the user journey. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value. (e.g. marketing attribution, customer acquisition, user churn/retention, maximizing lifetime value of users, experiment design (AB testing), cohort analysis, propensity scoring etc.) Please note, Underdog is a US based company and no sponsorship is available for this position at this time.  What you’ll do: Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions Develop and implement advanced analytical models, including predictive propensity and marketing attribution models, to drive revenue and assist in informed decision making Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership Design and execute experiments/AB tests, analyze/interpret results to impact product performance Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders Collaborate with cross-functional teams to identify data needs and develop data-driven solutions Stay up-to-date with the latest trends and developments in marketing analytics and data science Develop an understanding of marketing strategy and trends and contribute to data-driven decision making Who you are: BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Marketing or related academic/work experience 3+ years of experience in marketing analytics, with experience analyzing large datasets and developing analytical solutions Experience in marketing data analytics, and/or digital marketing analytics, and/or web analytics Strong experience with large-scale datasets using SQL and programming languages such as Python or R Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.) Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Redshift, GCP, AWS) Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and marketing teams Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders Familiarity with data warehousing, data pipelines, and data governance best practices Even better if you have… MS, PhD in Statistics or related field  Experience with predictive modeling using machine learning  Experience working with marketing stakeholders Demonstrated experience leading a marketing analysis project where your recommendations had an impact on the business   Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave Company paid Health, Dental, Vision plan option for employees and dependents 401k Match & FSA Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST! A $500 home office allowance $100 in UD credit Support for learning and development Book club – expense your books! Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!) Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally! #LI-REMOTE

Data Scientist Finance

Underdog Sports

What is Underdog? Founded by a team of industry veterans, Underdog was born with the idea that bringing strategic innovation to sports gaming and entertainment is the key to success in an exceptionally competitive market. Underdog has quickly established itself as a leader in the space, and is committed to building the best sports gaming platform in the industry -- and supporting the most passionate community of sports fans while doing it! At Underdog, we’re not only about creating these awesome products, but also about growing our culture of passion, ownership, and fun! We believe that great companies are made out of great people. Our continual aim is to create an inclusive environment for everyone, at all levels, to achieve their highest potential at work. We are seeking intellectually curious, innovative, and highly motivated individuals to join our Data Science Marketing Analytics team as foundational members. As a Data Scientist at Underdog, You will play a crucial role in driving our financial capabilities, fueling the development of next-generation AI-powered gaming platforms that will revolutionize the sports gaming industry. Join a dynamic team dedicated to tackling cutting-edge data science challenges in the realm of finance analytics. In this role, you will be responsible for analyzing and interpreting complex customer activities or financial data to drive business decisions and improve financial performance. The ideal candidate will have a strong background in data mining, analytics and statistics, as well as experience in financial analysis and reporting. You will develop analytical frameworks, observational analyses, models, features or metrics that leverage the massive scale of Underdog’s user base to understand revenue impact from user behavior, address business challenges such as forecasting financial trends, customer segmentation. You will work closely with the machine learning team to develop advanced analytics solutions that drive business value.  Please note, Underdog is a US based company and no sponsorship is available for this position at this time.  What you’ll do: Analyze business performance and trends, providing actionable insights and root cause analysis to allow for rapid response in business decisions Develop and implement advanced analytical models to drive revenue and assist in informed decision making Develop and maintain performance metrics, KPIs, and experimental analysis to support reporting needs for stakeholders and executive leadership Design and execute experiments/AB tests, analyze/interpret results to impact product performance Implement analytical solutions to support key finance functions such as budgeting, forecasting, and planning Develop and implement data visualizations and interactive dashboards to facilitate communication and insights generation to stakeholders Collaborate with cross-functional teams to identify data needs and develop data-driven solutions Stay up-to-date with the latest trends and developments in analytics, data science and finance Who you are: BS, MS, or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science, Finance or related academic/work experience 3+ years of experience in analytics, with experience analyzing large datasets and developing analytical solutions  Strong experience with large-scale datasets using SQL and programming languages such as Python or R Proven experience developing and implementing data visualizations and dashboards to communicate insights to stakeholders (Tableau/Looker etc.) Experience with cloud-based data platforms and data warehousing solutions (e.g. BigQuery, Snowflake, Redshift, Azure, GCP) Strong analytical and problem-solving skills, thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them Ability to work autonomously and lead initiatives across multiple product areas  Effective communication and presentation skills, with the ability to translate complex analyses to non-technical stakeholders Familiarity with data warehousing, data pipelines, and data governance best practices Even better if you have… MS, PhD in Statistics or related field with research in machine learning Experience in finance data analytics Experience in financial analysis and reporting Familiarity with financial statements and accounting principles Knowledge of financial planning and analysis (FP&A) best practices   Underdog Sports is firmly committed to equity, inclusion, and diversity. Our unique culture was built on the foundation of a safe and inclusive environment for people of all backgrounds. We highly value the mental, physical, and emotional health of our employees, and are continuously asking ourselves: what can we do better? Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status or any other defining characteristic. Our targeted compensation rate for this position is between $140,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate. Below you’ll find a few of our perks: Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season) 16 weeks of fully paid parental leave Company paid Health, Dental, Vision plan option for employees and dependents 401k Match & FSA Remote, In-Person, or Hybrid Scheduling – we are 100% VIRTUAL FIRST! A $500 home office allowance $100 in UD credit Support for learning and development Book club – expense your books! Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks!) Lastly, an extremely transparent, fun, and engaging culture where you will grow both personally and professionally! #LI-REMOTE

Data Scientist Optimization

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Senior Data Scientist with Optimization experience (in particular, integer programming, mixed integer programming) and solid knowledge of reinforcement learning, deep learning, and strong coding capabilities. This person will be responsible for writing complex production-level codes. Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science experience with robust Optimization experience (specifically, integer programming, mixed integer programming) and deep Reinforcement Learning knowledge is a must. Strong statistics foundation and knowledge of statistical packages. Highly proficient with Python and SQL and can write complex Python codes and SQL queries. A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. A simulation experience is plus. Retail/CPG or Supply Chain experience is a must. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Senior Director Data Science R

Dun Bradstreet

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! The Senior Director, Data Science will work with decision-makers across the company or external clients to understand their business goals, identify opportunities to use data and analytics to develop new insights, and to improve business results The Senior Director, Data Science will establish and maintain strong relationships with key business stakeholders The Senior Director, Data Science will take the analytical lead in all aspects of a modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting This role will serve as a Subject Matter Expert on predictive models within the Advanced Analytic Services team and with business users; consult with the business, as appropriate, on predictive modeling solutions The Senior Director, Data Science will validate the performance of existing quantitative risk models, to ensure that key KPIs are set and attained, and to recommend changes when necessary This role will partner with internal D&B team to develop new business solutions in risk analytics Requirements: Master’s degree or higher with concentration in a quantitative discipline such as (Math/Stat, Economics, Computer Science, Finance, Operations Research, etc.) with 8+ years of applicable experience Experience leading data scientists’ team Ability to effectively communicate complex ideas to both a technical and non-technical audience Strong client collaboration skills, including the ability to build and maintain relationships with clients Ability to design and develop analytics products end to end Deep knowledge and experiences in Machine Learning and AI and its application. Hands on experience of building analytics solutions and the ability to conduct research utilizing Python, PySpark and SQL Strong model development experiences for financial industry Creative and inquisitive in nature, flexibility to learn and apply new methodologies Preferred Qualifications Experience of development for Fraud prevention solutions  Strong business acumen, especially in Financial Services Industry Experience or Supply Chain applications Consulting Experience working with outside clients on statistical engagements Strong technical writing skills Passionate on stay abreast of cutting-edge ML and NLP methods, with good grasp of state-of-the-art NLP algorithms $150,700 - $255,200 a year **This role is eligible for Bonus** Benefits We Offer · Generous paid time off in your first year, increasing with tenure. · Up to 16 weeks 100% paid parental leave after one year of employment. · Paid sick time to care for yourself or family members.  · Education assistance and extensive training resources. · Do Good Program: Paid volunteer days & donation matching.   · Competitive 401k & Employee Stock Purchase Plan with company matching.  · Health & wellness benefits, including discounted Gympass membership rates. · Medical, dental & vision insurance for you, spouse/partner & dependents. · Learn more about our benefits: http://bit.ly/41Yyc3d. Pay Transparency Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting.  Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above. All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster here and its supplement here. View the pay transparency policy here. Global Recruitment Privacy Notice

Data Science Director

Altoida

Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida.  Altoida’s culture is united around six core principles: - Patient-First - Open Communication - Collaborative  - Reliable - Embrace Positive Change - Think and Build at Scale We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development. Responsibilities (Leadership) Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy  Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation Responsibilities (Data Science) Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference  Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results  Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact  Serve as an ambassador for Data Science at Altoida by presenting and publishing articles Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable  Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs  Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy  Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations  Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale  Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols  Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects  Keep pace with latest developments in the field and mentor associates accordingly Responsibilities (Operational Excellence) Accountable for design and timely delivery of the digital / data science strategies  Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards  Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable Desired Skills and Experiences 10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development  Executive-level communication skills for cross-functional collaboration across teams  Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems  Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation  Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses  Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements  Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization  Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA  Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages The position is remote with East Coast / Boston, MA candidates preferred. Minor travel is expected. Compensation Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience. Location Altoida’s US headquarters is located in Washington, DC. The position is remote. Equal Opportunity Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

Data Scientist Senior Geo

Veho

About Veho Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before. As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho. You will: Understanding business context and gathering requirements Build and iterate on models to meet requirements using Python Create data pipelines to feed analysis and productionized models Integrate models into production systems using MLOps best practices Analyze impact and effectiveness of models in production systems What you bring: Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science or data engineering Experience using statistical modeling or machine learning techniques to solve business problems Strong SQL and Python skills At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake At least 1 year of experience working with cloud-based data engineering and data science tools Experience working with large-scale geo track and trace data sets (preferred) Familiarity with the gig economy space (preferred) Experience managing and deploying real-time models in production (preferred) $150,000 - $170,000 a year The base salary range for this position is $150,000-$170,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO. Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.  

Data Scientist Senior Experimentation

Veho

About Veho Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before. As a Senior Data Scientist (Experimentation), you’ll be directly embedded in data science, operations, product, and engineering teams to quantify the effectiveness of process changes across Veho.  You’ll partner with product managers to understand high-value business problems, build systems that inform experimental design, and work with cutting-edge technology.  Responsibilities Include: You’ll serve as the key contact for defining and designing test strategies across numerous business decision verticals Educate users on the role testing and insights can play to accelerate insights and reduce the risk Build reliable and efficient, experimentation tools to speed up design and analysis Create robust data pipelines to feed downstream analyses Ensuring data quality and data integrity through best practices in data integration Analyze and evaluate the impact of changes production systems What You Bring: Bachelor’s Degree plus 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science Familiarity with statistical modeling or machine learning techniques to solve business problems Strong SQL and Python skills Proficient in A/B, multivariate testing in a multi-channel setting Experience dealing with network effects via switchbacks or synthetic controls At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake $150,000 - $165,000 a year The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO. #LI-Remote Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.  

Data Scientist Senior Customer Client

Veho

About Veho Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before. As a Senior Data Scientist, you’ll be directly embedded in a team of talented engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our client and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology.  Responsibilities Include: Understanding business context and gathering requirements Proactively identify the most impactful opportunities to shape product roadmaps whithin the consumer and client space Building reliable, efficient, and scalable models for our AI/ML capabilities Creating robust data and automation pipelines to effectively generate insights and trends Ensuring data quality and data integrity through best practices in data integration Analyze and evaluate the impact and effectiveness of models in production systems Help design consumer or client experiments to quantify the value of unique Veho services What You Bring: Bachelor’s Degree plus 3 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science Experience using statistical modeling or machine learning techniques to solve business problems Strong SQL and Python skills Experience building consumer or client facing sales tools that leverage analytics/machine learning Experience designing and running experiments At least 2 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake At least 2 years of experience working with cloud-based data engineering and data science tools.  $150,000 - $165,000 a year The base salary range for this position is $150,000-$165,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO. #LI-Remote Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.  

Data Scientist Product Analyst Marketplace

Veho

About Veho Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before. As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology.  Responsibilities Include: Understanding business context and gathering requirements Build reliable, efficient, resources to monitor our AI/ML capabilities Present and educate to stakeholders and leadership models impacts, changes and analytical insights Create robust data pipelines to feed analyses Ensure data quality and data integrity through best practices in data integration Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments What You Bring: Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science Experience using statistical modeling or machine learning techniques to solve business problems Strong SQL, Python and dashboarding skills Experience building ETA models or levering geo track and trace data to generate insights Experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark Experience with analytical relational databases like Redshift, BigQuery, or Snowflake Experience with vehicle routing problems or logistics is nice to have but not required $110,000 - $125,000 a year The base salary range for this position is $110,000-$125,000 and will be dependent upon a number of factors, such as education, work experience, skills and location. Additionally, Veho offers a competitive equity package, comprehensive medical, dental and vision coverage as well as other benefits such as 401k and unlimited PTO. Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.   Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or any other protected class.  #LI-Remote Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.  

Data Scientist Services

Streetlight Data

StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment. As a Data Scientist on our Services team, your role will be vital in shaping our services offerings. You will directly influence the success of our customers by developing data-driven solutions tailored to their unique needs. Utilizing your data science expertise, you will be tasked not only with the creation of these solutions but also with the proactive identification and validation of potential new services offerings.    In this role, you will harness the power of StreetLight's extensive repository of transportation data, formulating efficient queries to deliver the answers our customers seek. Employing innovative visualization techniques and synthesizing diverse data sets, you willprovide comprehensive insights. As a key contributor to our lean launch program, your data insights will enable the identification, prototyping, and validation of new product concepts.     Location: We are flexible on the location of this position - it could be in any one of our corporate offices, or remote within the US or Canada.  Key Responsibilities Design and refine algorithms to infer key transportation patterns from various data sources, including both StreetLight's proprietary data and metrics, as well as external data. Apply these insights to explore and validate potential new services offerings. Research, implement, and optimize suitable strategies for tackling data science problems Use advanced statistical tools for the analysis and validation of results, ensuring the viability of potential new services and lean launch prototypes. Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making. Collaborate closely with Sales, Solutions Engineers, and Account Management to translate customer requests into clearly defined, timely outputs that exceed customer expectations. As part of a dynamic team at StreetLight, proactively identify opportunities for process improvements and contribute to the evolution of our service offerings. Qualification & Skills BS / MS in Computer Science, Mathematics, or an Engineering discipline from a top university. Proficiency in Python with 5+ years of experience, including familiarity with data-focused libraries such as pandas, NumPy, SciPy, and scikit-learn. Experience with relational databases and SQL, including a strong understanding of concepts. Familiarity with BigQuery is preferred. Solid understanding of techniques in data science, including machine learning algorithms, forecasting, regression analysis, etc. Expertise in data visualization, preferably with experience using ArcGIS for web mapping and interactive dashboard creation. Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms. Familiarity with software engineering principles, reflecting an understanding of how robust, scalable systems are built. Knowledge of geospatial data, statistics, and experience with geospatial databases such as PostGIS is a plus. Experience with transportation data/industry is a plus. This includes working in a transportation-focused role within government, consulting, private-sector mobility, or a non-profit. Strong communication skills - written, visual (presentations, charts, maps), and verbal. The base salary range for this position is $140,000 to $150,000. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations (remote). Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Interested? StreetLight Data offers a competitive salary and benefits package. StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Data Scientist International

Varsity Tutors

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Sr. Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale. The qualified Sr. Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed. About Nerdy: Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.  Qualifications: M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics). 3+ years of professional data science experience Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).  Previous experience with production models, i.e. post-deployment responsibility Ability to develop ML or statistical analyses software in R or Python Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus. Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus. Relentlessly curious and strong bias for action. Great communication skills Responsibilities:  Develop algorithmic systems to enable personalization for our consultative sales organization.  Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.  Design experiments to rapidly establish causal relationships.  Drive initiatives from conception to production with measurable impact to the business. Define creative services to thorny problems using mathematical algorithms Varsity Tutors Leadership Principles Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot Benefits/Culture: Competitive Salary plus Equity in the company Healthcare Plans (Medical, Dental, Vision, Life) 401k Company Matching Plan Remote Position, fully work from home anywhere in the U.S. Flexible PTO Paid VTO ("volunteer time off" to do community service/charity work) 52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes Once in a lifetime opportunity to help revolutionize how the world learns! Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)

Principal Data Scientist Search And Personalization United States

Getty Images

Principal Data Scientist, Search and Personalization - United States (Remote)  Duration: Permanent Location: United States (Remote)  Start: ASAP Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office. Who You Are: We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics! Your Next Challenge: Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success Develop and implement online and offline testing and validation methodologies Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process What You'll Need: Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products A minimum of 5 years validated experience Proven expertise as a technical lead providing mentorship and guidance to team members. A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful Mental and Physical Demands: A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.) Frequent communication with others to exchange information Frequent sedentary work that primarily involves sitting/standing; Time of each will vary Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc Constant assessment of accuracy and thoroughness of the work assignment $122,400 - $204,000 a year The starting salary range for this position at time of posting is USD 122,400 to USD 204,000 per annum. Getty Images has different ranges in different locations within the US, and this range represents the starting base pay range. Actual compensation will depend on factors including but not limited to: qualifications, geographic location, skills, experience, certification, business needs, performance, and level of responsibility along with the requirements of the position. The company reserves the right to modify this pay range at any point in the future. Getty Images is committed to the health and well-being of its employees and benefits for full-time permanent employees may include participation in the company incentive program, equity, and benefits package which is inclusive of medical, dental, vision, 401(k) match, paid company holidays and time off, and paid parental leave. Visit our career site to learn more about our career opportunities and Diversity & Inclusion commitments.  Benefits at Getty Images   Health Insurance We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.   Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.     Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.     401(k) Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!    Learning & growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).   US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe. Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.  Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.   Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behavior and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experiences Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Data Science Manager

Signifyd

The Data Science team builds production machine learning models that are the core of Signifyd's product. We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals. The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management. We value collaboration and team ownership -- no one should feel they're solving a hard problem alone. Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects. The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture. How you’ll have an impact: Owning the decisioning performance for a group of enterprise merchants with household names, executive attention, and a significant bottom line impact to Signifyd.  Collaborating with internal stakeholders across Customer Success, Risk Intelligence, Sales and beyond.  Leading a team of Data Scientists and helping them set goals, collaborate, and provide vision and guidance on key areas to scale Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform Collaborating with engineering teams to continuously strengthen our machine learning pipeline Researching real-time emerging fraud patterns with our Risk Intelligence team Building production machine learning models that identify fraud Writing production and offline analytical code in Python  Working with distributed data pipelines Past experience you’ll need: A degree in an analytical field 2+ years of experience in people management with experience building teams, growing talent and working across departments. At least 4 years of post-undergrad work experience required Strong stakeholder management skills Experience leading projects that depend on the contributions of others in multiple teams Using visualizations to communicate analytical results to stakeholders outside your team Hands-on statistical analysis with a solid fundamental understanding Writing code and reviewing others’ in a shared codebase, preferably in Python Practical SQL knowledge Designing experiments and collecting data Familiarity with the Linux command line Experience we love to see: Experience managing remote teams Previous work in fraud, payments, or e-commerce Data analysis in a distributed environment Passion for writing well-tested production-grade code #LI-Remote Benefits in our US offices: 4-day workweek Discretionary Time Off Policy (Unlimited!) Mental wellbeing resources Dedicated learning budget through Learnerbly 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag  

Senior Product Data Scientist

Square

Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices. Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are. Job Description We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day. As a PDS at Cash App you will: Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis Qualifications You have: A bachelor degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role ORA graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant roleAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with scripting and data analysis programming languages, such as Python or RExperience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building   Technologies we use and teach: SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Data Scientist Lead Square F S

Square

Company Description Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. Job Description The goal of this team is to empower Square F&S org with data driven decision making, by defining and developing the metrics and KPIs (actual & forecasted) to track Square business against organizational goals. You will lead the data engineers in the team to build the required laying foundations.You are a self-starter and you are comfortable working cross-functionally with other teams across Square and enrich those relationships. You will: Partner with Square F&S org and be responsible for co-defining metrics & KPIs that will be used to track product’s performance by various GTM, product and other teams.Lead, coach and mentor a team of data engineers and build data driven culture in the team.Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful Qualifications You have: 8+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) Nice to have: M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working with finance/accounting team on designing metrics to track company’s performance Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $184,100 - USD $225,000 Zone B: USD $174,900 - USD $213,700 Zone C: USD $165,700 - USD $202,500 Zone D: USD $156,400 - USD $191,200 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Staff Data Scientist Model Risk Management

Square

Company Description Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. Job Description The Model Risk Management Team is dedicated to ensuring regulatory compliance, supporting the reduction of potential errors or bias, and promoting appropriate use for models created and maintained by Block. The team achieves this by establishing and implementing model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development and risk management.  This is a foundational team within compliance, which means it will support and collaborate with all key functional areas of Block regardless of the product or market. We are looking for a Staff Data Scientist with model validation experience to join our team and support our model risk management activities. Your responsibilities will include validating machine learning models as applied to regulatory compliance such as anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening. You will also provide analytical support and insights to improve our model development, and documentation standards. You should have strong quantitative skills, attention to detail and knowledge of relevant regulations and industry best practices. You will be fully remote and report into our Foundational Model Risk Management Lead. Responsibilities: Validate machine learning models using data analysis, testing procedures and quality assurance methodsEvaluate and improve model validation activities, processes, and metricsAssess and advise on model governance frameworks, and development practicesIdentify model risks, issues, and gaps to managementProvide analytical support and insights to improve model development, validation, and documentation standardsStay updated on latest trends, developments and best practices in machine learning and compliance risk managementMaintain validation documentation following internal policiesDevelop monitoring dashboards for ongoing model performance monitoring (e.g. model drift)Coordinate with business partners, Data Science, Product, Engineering & TechnologyDevelop partner relationships and have a understanding of the businesses Qualifications Required: Bachelor's degree in the physics, economics, statistics, or a similar STEM field with 8+ years of related work experience; Graduate degree w/ 5+ years of relevant working experience; or 9+ years of relevant working experienceKnowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)Experience with scripting and data analysis programming languages, such as Python (preferable) or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau)Quantitative skills with the ability to interpret complex data setsExcellent communication skills with the ability to present technical information clearly and concisely  Preferred: Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection Prior experience in compliance risk management Knowledge of regulatory frameworks such as SR 11-7  Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $184,100 - USD $225,000 Zone B: USD $174,900 - USD $213,700 Zone C: USD $165,700 - USD $202,500 Zone D: USD $156,400 - USD $191,200 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Senior Product Data Scientist

Square

Company Description It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, available and accessible, at Cash App you'll have the opportunity to make a real-world impact with your career. Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices. Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are. Job Description We are looking for Senior Product Data Scientists to join Block and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day. As a PDS at Cash App you will: Partner directly with a Cash App product team, working closely with product managers, engineers, and designersAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis Qualifications You have: 1-2 years of data science and analytics experience in industryA PhD or other relevant graduate degree in the physics, economics, statistics, or a similar STEM fieldExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building   Technologies we use and teach: SQL (MySQL, Snowflake, BigQuery, etc.)Python (Pandas, Numpy)Tableau, Airflow, Looker Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Data Science And Analytics Manager Streaming Product

Netflix

Streaming entertainment is at the heart of Netflix. Members want a seamless, immersive Netflix experience, and we deliver it with a symphony of systems working together behind the scenes. Content files must be encoded, distributed to our content delivery network, then adaptively streamed by the wide range of devices our members use to watch the content they love. Our data science and analytics team takes a holistic approach to measuring and improving these systems and their ultimate impact on Netflix members. As we add games, live content, and ads into the Netflix product, we’re asking new questions about how the streaming product should work and how to best serve our members. Our end goal is to drive the quality of the entertainment experience higher and higher for each of our global members. What you'll do We’re looking for an accomplished data science and analytics leader for the core streaming andencoding business areas. You'll lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You'll partner with engineering teams to optimize the Netflix streaming product with an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges. Experimentation is a critical part of our DNA, so you’ll contribute to smarter, faster, easier friendly ways to experiment. You have Experience hiring and leading high-caliber, data-focused teams with diverse technical strengthsExperience creating and fostering an inclusive team cultureExperience partnering with technical engineering or product teams Demonstrated strength for applying statistics and experimentation to solve problemsStrength in independently finding opportunities and executing on science and analytics challenges for maximum business impact  Netflix culture Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for roles in this area of Netflix is typically $310,000 - $1,200,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn morehere.

Data Scientist

United Health Group

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us and start doing your life’s best work.(sm)  As the Data Analyst 2, you will act as the Analytical expert and will provide analytic leadership to support Government Program operational reporting and analytics, planning, forecasting, machine learning and process improvements. You’ll work closely with business leaders to develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help Government Operation fulfill its mission. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities:  Communicate with business operations team, understand the requirement Develop innovative analytic solutions, create actionable insights and drive better decisions and performance to help the business achieve its business objectives Support operational analytics, machine learning and process improvement data deep dive, identify and execute on new opportunities for increases in efficiencies and performance  Support data governance and stewardship work streams Develop predictive model and solid analytics solutions Formulate hypothesis, develop queries and models to evaluate hypothesis and formulate solutions to drive process & performance improvement Develop visionary and creative analytic solutions to measure business performance; identifies / quantifies drivers, risks and opportunities and defines solutions to mitigate risks and leverage opportunities Influences senior leadership to adopt new ideas, projects and / or approaches Competencies: Self-starter and should have solid coding mindset and facilitation skills that will quickly develop relationships across the organization while building a collaborative work environment Solid business acumen and critical thinking ability Solid problem-solving skills with the ability to anticipate, identify and diagnose problems and make recommendations Candidate must be goal-directed, persistent and driven to achieve positive results. Is positive influence on others and deals well with set-backs. Identifies integration issues, removes barriers and tracks project status in order to obtain desired results Detail orientation – getting “into the trenches” to evaluate all aspects of operations. Pivotal to success will be the ability to take a hands-on approach to getting the information needed and driving effective and lasting change Serve as a solid coach and will foster career development of team members You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Please review the required qualifications as posted below. To be eligible to apply and be reviewed for the position, the candidate must meet or exceed all posted required qualifications listed.  Please attach an updated resume and detail your experience for the required qualifications. We value your time and interest in this position and thank you again for taking the time to review the job posting. Required Qualifications:  Bachelor’s degree and equivalent combination of education, experience  5+ years of experience utilizing SQL and/or relational database tools 3+ years of experience in reporting & analysis, data management & reconciliation  2+ years of experience within a Data Science environment with demonstrated experience with big data tools and platforms (SAS, R, Python, Spark, Databricks, Hadoop, Hive, etc.) 2+ experience applying computational algorithms, statistical and programming methods to structured and unstructured data 2+ years of experience with Tableau Proven ability to demonstrate key successes on business solution derived from analysis and deep learning Preferred Qualifications:   Experience with Power BI  Experience with ETL Snowflake experience Project Management (Agile, Waterfall methodologies) and Operational (claims, call center, etc) experience Analysis experience within managed care/health insurance industry experience in government programs, and/or finance Careers with UnitedHealthcare. Work with a Fortune 5 organization that’s serving millions of people as we transform health care with bold ideas. Bring your energy for driving change for the better. Help us improve health access and outcomes for everyone, as we work to advance health equity, connecting people with the care they need to feel their best. As an industry leader, our commitment to improving lives is second to none. California, Colorado, Connecticut, Nevada, New Jersey, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New Jersey, New York, Rhode Island or Washington residents is $67,800 to $133,100. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives. *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.     Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.       UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment. 

Data Scientist Resilience Modeling

One Concern

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world. One Concern is growing rapidly and we are looking for a passionate and motivated Data Scientist for Resilience Modeling to join our team. What you will do Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters Build and improve existing machine learning models Work with and support domain experts and data scientists in different hazard products Demonstrate up-to-date machine learning skills and apply this to the development, execution, and improvement of action plans Assess the potential usefulness and validity of new statistical approaches and data sources. Identify key problems in prediction models and propose innovative solutions Formulate your own problems as the problem might not always be defined for you Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights Must-haves Ph.D. (preferred) or Master’s degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Science or related field  Strong background in machine learning, statistics, and quantitative analytics Experience in developing machine-learning models and/or statistical/probabilistic models Proficient in Python Good to have Domain knowledge of natural disasters or risk modeling. Strong publication record We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Lead Data Scientist

System1

We are seeking a highly skilled and experienced Lead Data Scientist to join our growing Data Analytics team. This person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences, focusing on our highly profitable Search Engine Monetization business. This role requires a strong background in exploratory data analytics, statistics, data modeling as well as excellent communication and leadership skills. The Role You Will Have Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals  Develop and create  models in production (classification, clustering, learning models, multivariate  regression, time series, k-means, etc.)  to identify the best business solution Use Python and packages like Pandas, NumPy, etc., to perform complex statistical analysis on results, and utilize APIs for data ingestion  Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis  Perform complex exploratory analysis on historical search engine marketing campaign data  -  including keyword performance, ad spend, and conversions - and identify opportunities for new expansion  & data acquisition Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization Stay up-to-date with industry trends and best practices in search engine marketing and data analysis What You Bring to the Team Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics,  Data Science) 7+ years of progressive experience in data analysis/data science and handling of large data sets  Strong experience with mathematical optimization methods, exploratory data analysis,  predictive modeling and machine learning techniques Advanced proficiency in SQL  Strong proficiency in Python & its data science packages (Pandas, NumPy, MatPlotLib, Seaborn, etc.) Familiarity with digital marketing KPIs including CPA, CPC, CPM and ROAS Experience with big data technologies (e.g. AWS, Snowflake, Hadoop, Spark, BigQuery) Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab) Familiarity with pulling data from third party API’s and basic ETL processing Excellent communication, and experience in providing leadership within your team (code-review or pair-programming, interviewing & onboarding new hires, etc.) What We Have to Offer Competitive salary + bonus + equity Generous PTO + 11 company holidays Open sick time 100% covered Medical, Dental, Vision for employees 401k with match Health & Dependent Care Flex Spending Account  Paid professional development Leadership & growth opportunities Virtual company and team building events  #BI-Hybrid #BI-Remote #LI-Remote #LI-Hybrid

Principal Data Scientist Search And Personalization Canada

Getty Images

Principal Data Scientist, Search and Personalization - Canada (Remote) Duration: Permanent Location: Canada (Remote) Start: ASAP Who You Are: We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics! Your Next Challenge: Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success Develop and implement online and offline testing and validation methodologies Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process What You'll Need: Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products A minimum of 5 years validated experience Proven expertise as a technical lead providing mentorship and guidance to team members. A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.) Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts Open listener, ability to be open to many diverse voices and perspectives You are clear, credible, and forward-thinking! A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful Mental and Physical Demands: A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.) Frequent communication with others to exchange information Frequent sedentary work that primarily involves sitting/standing; Time of each will vary Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc Constant assessment of accuracy and thoroughness of the work assignment Benefits at Getty Images   Extended Health Insurance    Time off Work/life balance is important to us We provide flexible time off plus 3 sick days each calendar year. Additionally, we offer 16 weeks paid Maternity Leave for birth mothers, and 4 weeks fully paid leave for other new parents.   Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.   Group RRSP Matching Program  Save for retirement by making contributions consistently and conveniently through payroll deductions. Plus, Getty Images will match 100% of your contributions, up to a maximum of 3% of your base salary! Contributions are taken from your gross pay BEFORE payroll taxes are calculated resulting in an immediate tax reduction. Participation is voluntary so you must enroll in the plan for contributions to begin.    Learning & Growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Who We Are: Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe. Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.  Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.   Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behavior and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experiences Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Data Scientist I

Virgin Pulse

Data Scientist I Engineering Remote, United States Learn More Join Virgin Pulse Today! Virgin Pulse is the #1 health and wellbeing navigation platform. Our mission is to change lives for good. We empower 14 million users to get and stay healthy every day by making better choices. We are looking for a Data Scientist I to join our team who embodies our values: People Matter, We Deliver, One Team One Dream, and Grow Forward. By joining us, you will gain access to health and wellbeing resources, an inclusive global network of nearly 2,000 employees, learning development opportunities, and more. Position Summary  The Data Scientist supports the organization's efforts to drive personalization and targeted intervention through solid statistical and modeling skill set. A successful candidate will have a desire for continuous learning and strong interpersonal relationship skills. Gathering, cleaning, transforming, and sampling complex healthcare data.Working with our team of data scientists and engineers to develop and deploy predictive machine learning models.Applying statistical techniques to validate and evaluate model performance, ensuring accuracy and reliability. Qualifications: Bachelor's degree in data science, computer science, related field, or equivalent experience Understanding of machine learning algorithms and statistical modeling techniquesProficiency using SQL and relational databases Preferred Qualifications: Interest or experience working with healthcare claims or clinical dataExperience with Snowflake, Python, R, and GitFamiliarity with SAS software, Agile development framework  No candidate will meet every desired qualification. If you think you can bring value to the role, please apply! Virgin Pulse is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.    In compliance with all states requiring pay transparency, the base compensation for this position ranges up to $95,000 annually. Note, salary may vary based on location, skills, and experience. This position is eligible for 10% target bonus, health, dental, vision, mental health, and other benefits.  Learn More

Data Scientist

Hubspot

The Mission HubSpot’s mission is to help millions of organizations grow better. We build a CRM platform for scaling businesses that helps them deliver a delightful customer experience that their customers love. The HubSpot People Analytics team helps HubSpot employees (or HubSpotters, for short) thrive so that they can delight customers. We do that by building analytical products to help HubSpotters grow better. As a Data Scientist, you will help the People Analytics team advance our predictive analytics, machine learning, and AI capabilities. The role involves working with partners to identify predictive analytics challenges, integrating end-to-end machine learning and AI solutions into our products, and supporting these solutions after they are deployed. Responsibilities You will collaborate with teammates to identify challenges facing partners and solve them with predictive analytics. Clear communication is key as you work with both technical and non-technical audiences. You will develop and maintain scalable machine learning and forecasting products that focus on employee outcomes such as attrition and performance. You will leverage your experience in building end-to-end machine learning solutions, from the prototype phase to production. Your deep understanding of machine learning fundamentals, including model training, selection, validation, and updating, will guide this process. Together with our team of data engineers, you will identify and ingest new big data sources. Your proficiency in data query/processing languages and tools, such as SQL and Snowflake, will aid in translating these data sources into predictive features. Your interest in Deep Learning and eagerness to learn how to train Large Language Models (LLMs) will open up new avenues for innovation in this role. If you have prior experience in training LLMs, it’s an added bonus. Qualifications Experience building end-to-end machine learning solutions, from the prototype phase to production Deep understanding of machine learning fundamentals, including model training, selection, validation, and updating.  Proficiency in a programming language (Python, R, etc.) Proficiency in or willingness to learn SQL  Bonus points for prior experience training Large Language Models Cash compensation range: 118500-189600 USD AnnuallyThis resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer. The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. About HubSpot HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you. You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more. Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.

Senior Full Stack Data Scientist

Bayesian Health

In Brief We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. We’re looking for an experienced full-stack Data Scientist with expertise in state-of-the-art ML methods who wants to own the end-to-end effectiveness of their models in a live, clinical AI product. Who We AreBayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.What makes us different? We’re results oriented and outcomes obsessed. We also understand that to address our users’ needs, we must go beyond building great technology. After spending a decade working side by side with top clinicians from three of the world’s leading health systems, we know what it takes to develop usable, high-value, clinically-relevant solutions. We are experts at rummaging through messy, incomplete, biased datasets. We are able to make sense of, and continuously learn from data, to help our physicians practice more precise medicine.Read more about our recent publication in Nature Medicine that associates our products with lives saved. What You’ll DoAs a full-stack Data Scientist, you will own the effectiveness of models that you develop and maintain, throughout the life cycle of production ML systems. You will: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods. Define and implement model/algorithm improvements to refine the behavior of existing ML-based systems. Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies.  Produce high-quality, one-off, aggregate analyses of model behavior, including producing high-quality studies for publication. Design and create proofs of concept of innovative and original ML solutions to clinical challenges. Investigate to understand and communicate model behavior in specific cases. Write scripts to perform calculations for internal/external reporting and dashboards, to enable investigation of model performance (individual cases as well as statistics). Investigate data coming from EHRs and build high-quality data mapping code. Be an integral part of our diverse, inclusive, collaborative, fully-remote technology team. Who You AreAs a full-stack Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code. You either have a Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience as a full-stack data scientist. Relevant degrees include Machine Learning, Computer Science, Statistics, and Biostatistics. You are an expert in state-of-the-art machine learning approaches, and more importantly, you stay up to date on relevant works in the literature to guide your design and development strategy. You have experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.  You have experience in the design and execution of health outcomes/effectiveness studies and in relevant statistical methods. You have experience using messy clinical data to solve health care challenges. In this experience you have built a solid understanding of health care, clinical data, and clinical coding standards such as SNOMED and ICD. You have experience using MLOps tools such as SageMaker and MLFlow. You are passionate about making clinical care more effective and efficient. You believe data has a larger role to play at the point-of-care, and want to make that a reality. You have a track record as a good communicator and a collaborative, driven team player.

Lead Advanced Analytics Trust Safety

Airbnb

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:  We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Trust organization. The Trust organization protects, guides, and mobilizes the creation and defense of trust in our community and on our platform. The Trust Experience Analytics team within Global Operations enables, facilitates, and streamlines integrated data-driven decision making across the Trust Product, Operations & Policy organizations. The team is committed to operational excellence and community experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product defense and frictions, processes and implement objective indicators of success. The Difference You Will Make: You will be a part of a Trust product & operations data squad composed of product managers, engineers, ops analysts, data analysts and data scientists designing and building scalable and robust products and systems to detect and support the mitigation of fraud activities across the entire platform (Account Integrity, Content Integrity, Financial Fraud, Safety, Identity etc.). You will both develop and support the creation of robust data insights through cross-functional partnerships, and will utilize and help to strengthen and improve the end-to-end trusted user journey (pre-trip, on-trip and post-trip). You will create data narratives and influence experimentation platforms to guide the seamless execution of new products, processes and systems, balancing the safety and expression needs of our community and business and operational challenges. In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted. You are passionate about solving complex problems within the Trust & Safety domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey A Typical Day: Lead and drive data-driven product roadmap for the Trust - Safety & Identity working groups. Recommend actionable solutions backed by data and metrics to product problems, with the ability to effectively communicate with Product & Engineering managers of varying technical levels Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform  Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others using tools & frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform  Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space Your Expertise: A minimum of 5+ years of industry experience in business analytics and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).  Have experience supporting trust and safety team and/or have worked closely with policy, content moderation, or security teams Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with  non-experimental causal inference methods, experimentation and machine learning techniques,  ideally in a multi-sided platform setting Working knowledge of  schema design and high-dimensional data modeling (ETL framework like Airflow) Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $155,000—$180,000 USD Apply now

Senior Data Scientist

Virtuous

About Us At Virtuous, our mission is to build better solutions and create a culture of collaboration and growth. We aim to move the needle on global generosity by making a positive impact on the nonprofits we serve and intrinsically, the world. At our core, we aim to blend philanthropy and technology into one cohesive force. Our team is made up of humble individuals who are driven by using their skills and expertise to push the boundaries of what is possible. We strive to break the status quo and offer the best products and services for the needs of our nonprofits, exceeding their expectations. We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity, whether it's through charitable donations, volunteering our time and resources, or simply being kind and compassionate to those around us. We enjoy the journey in all of our pursuits, recognizing that the destination is only a small part of the overall experience. Our Philosophy At Virtuous we hire the best talent which is not solely defined by skillset but rather the heart and passion for growing generosity in the world. We are not partners but rather champions for the success of the nonprofits we serve. We believe that it's not just about achieving our goals but having fun along the way. We try not to take ourselves too seriously and no one around here is a “big deal”. The ideal candidate for Virtuous embodies the following beliefs and behaviors that our team shares. We believe the following attributes are how we bring our values to life. Attributes of a great team member:  Asks questions with a spirit of curiosityGives feedback freely with candor & grace, welcomes it in returnDisplays a passion for philanthropy and technology Actively listens to & empathizes with customers, partners, & teamLeads by serving. Everyone is willing to make the coffee!Celebrates wins & milestones of others Assumes good intent & demonstrates trust in others Pursues relationships with people different from themselves & creates space to be human Find our core values & more here. Position Summary As a Data Scientist, you will be at the forefront of building out the data analytics and ML/AI function on our Engineering Team. You’ll be responsible for architecting and building the data and machine learning capabilities for new Virtuous products. Responsibilities will include identifying the datasets that help drive business value, choosing the tool/technology needed to hit our goals, and building scalable predictive models to accelerate the growth of our nonprofit customers. In this role, you should be highly analytical with a background in analysis, ML/AI, math and statistics. You should also have a customer-facing product mindset focused on delivering measurable wins for both Virtuous and our customers. Responsibilities Identify valuable data sources and work with data engineer to automate collection and ingestion processesAnalyze complex data sets using statistical analysis and machine learning techniques to identify business opportunities and provide actionable insights.Design and implement machine learning models to automate business processes and improve decision-making.Build predictive models to forecast behavior and improve personalized targeting and engagement.Collaborate with cross-functional teams and customers to identify business needs, define requirements, and develop solutions that meet the business needs.Develop and implement data-driven solutions to drive value to Virtuous customers.Implement models in production by collaborating with software developers on API and performance requirementsCommunicate findings and recommendations to non-technical stakeholders in a clear and concise manner.Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence. Requirements Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.3+ years of experience in data analysis, statistical modeling, and machine learning.Strong programming skills in SQL, Python, R, and similar languages.Experience with SQL, BI, data visualization tools, and big data platforms such as Hadoop, Spark, ClickHouse, Snowflake or AWS.Strong problem-solving skills and ability to work independently and in a team environment.Excellent communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.Experience working with large and complex data sets.Strong analytical and critical thinking skills.Knowledge of statistical analysis and machine learning techniques. Ability to adapt to new technologies and tools quickly. What We Offer Market competitive pay leveraging Carta dataEmployee recognition through Bonusly (birthdays, anniversaries, achievements, etc.) 401(k) retirement plan with company matching- 6% match up to 50% after 90 days We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO Supportive time off including paid volunteer days and company holidays Ample Medical/Dental/Vision healthcare benefits including dependent plans & HSA/FSA offerings Fully funded mental and Wellness memberships to nurture employees- Kindbody, OneMedical, Talkspace & Teladoc 12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well) We pride ourselves on Community and host exciting company outings and events.

Lead Data Scientist Simulation

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of simulation and experiment design, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science experience with simulation and experiment design, modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries. A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. Experience with supply chain/retail is good to have. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Senior Data Scientist

The Looma Project

Position Summary As a Sr. Data Scientist at Looma, you will play a vital role in shaping our understanding of shopper behavior in support of our mission to connect grocery shoppers with makers. You will join a highly skilled product team that values joy in work, organizational excellence, and empathy towards teammates and partners. As an early member of this team, you will be trusted with a high degree of ownership and have influence over key strategic decisions once you have your feet underneath you. We are seeking candidates with demonstrated experience in full stack data science looking to advance their careers by taking on a challenging role with near term opportunity for growth. This role reports directly to our VP of Product. The responsibilities for this role can be split into three primary categories: Full Funnel Performance Modeling (40%) Pilot & Product A/B Test Analysis (40%) Data Ecosystem Development (20%) Full Funnel Performance Modeling (40%) Leverage sales data and machine learning models to drive our understanding of how we impact shopper behavior. Advance and automate existing ML models to improve scalability, reliability, and generalization into new product categories and retail environments. Develop new machine learning models to deepen understanding of various aspects of shopper behavior. Pilot, Product, & Content A/B Testing (40%) Design experiments which deliver high powered results efficiently, minimizing resource requirements and disruption to business operations. Analyze test results by developing creative ways to derive insights from imperfect data that comes from external sources and real world environments. Communicate findings to non-technical stakeholders, first working to ensure findings are highly polished and accurate, and then determining the right set of narratives and visualizations to use to communicate effectively. Data Ecosystem Development (20%) Support the development of Looma’s data science operations through automation, pipeline optimization, code documentation, data governance, and promotion of a data driven culture. Design and implement APIs to make data insights available for customer-facing dashboards and tools managed by Looma’s engineering team. Promote internal data accessibility by developing BI tools and encouraging their use. Attributes & Experience Key Attributes: Polish: You deliver reliable results and are diligent in validation and verification. Enthusiasm: You approach your work with energy and passion, and inspire creativity and innovation within the team. Curiosity: You are constantly seeking to learn and grow, and have a strong desire to understand how things work and how to improve them. Empathy: You relate to the needs and experiences of customers, teammates, and partners, and approach problem-solving with a user-centric perspective. Organization: You maintain excellent organization in complex environments, taking initiative to automate, scale, and streamline systems. Preferred Background: A degree in a relevant field such as information science, mathematics, statistics, computer science. 5+ years of data science experience, including recent roles in a startup or early-stage company. Preferred Technical Experience: Proficiency with cloud-based data platforms (GCP preferred) and data extraction from SFTP servers, APIs. Experience in building models with libraries such as scikit-learn, caret, TensorFlow, Keras in R (preferred) or Python, with bonus points for gradient boosting frameworks like LightGBM. Familiarity with deploying interactive visualizations (R Shiny, Streamlit) and building BI dashboards (Tableau, PowerBI, Looker). Proficient in data transformation using tools like dbt or similar data processing frameworks. Preferred Strategic Experience: Familiarity with modeling advertising performance and shopper behavior analysis within the CPG industry. Experience in data security initiatives and regulatory compliance. Involvement in strategic discussions with sales, product, and executive stakeholders. Structure & Compensation  Looma will provide a competitive compensation package consisting of base salary and stock options. All Looma compensation packages include some cash / equity flexibility (i.e. you can opt for more equity and less cash or vice-versa). Benefits Employee coverage for health, dental, and vision (gold plan) Unlimited PTO (3-week minimum) Flexible office setting (office, flex, or WFH, with associated stipends) $100/month craftsmanship stipend 6 weeks birthing leave, 6 weeks bonding leave 401(k) plan

Senior Data Scientist Go To Market Automation

Square

Company Description Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. Job Description Our Go-to-Market Automation team builds automation and machine learning solutions to optimize the efficiency and impact of the Sales and Account Management teams. The Data Science and Analytics team leverages business intelligence, engineering, analytics, and data science to maintain and develop a world class suite of data driven solutions that increase the efficiency and intelligence of our Account Managers and Sales Representatives. As a Lead Data Scientist you will partner closely with Machine Learning, Data Engineering, Business Intelligence, Business Strategy, and Leadership to design and analyze experiments, develop statistical frameworks, and embed data-driven operations across the organization. You will own our experimentation program, testing the impact of third-party data sources, Machine Learning models, updates to internal products, and more to drive business growth. You will apply advanced statistical methods to answer complex business problems and guide decision making across Square’s go-to-market business units. You will: Be the subject matter expert in experimentation for Sales and Account ManagementDeeply understand the Sales and Account Management data ecosystem, and apply data science techniques to support the growth of the organizationPartner with Machine Learning engineers to support measurement and evaluation of ML modelsMentor and coach other data scientists and analysts on the team by providing technical guidance on experiments and other analysesAct as a trusted advisor to senior leadership on targeting strategy and help define a roadmap that aligns with key business prioritiesApply descriptive and predictive analytics to help drive insights and business decisionsCommunicate analyses and decisions to high-level stakeholders and executives in verbal, visual, and written formatsApply a diverse set of tactics such as causal inference, quantitative reasoning, and machine learning to research and produce insights Qualifications You have: 8+ years of analytics and data science experience, or 6+ years of experience with an M.S in a quantitative field (computer science, statistics, economics, or similar STEM field)Expertise in statistical analysis, hypothesis testing, and experimental design Familiarity with a range of lift and impact methodologiesStrong project management skills, with the ability to manage multiple projects and priorities in a fast-paced environment.Experience using quasi-experimental methods (IV, RDD, DiD, etc…) to estimate causal effects using observational dataStrong written and verbal communication skills and ability to build relationships and influence across the organizationProven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplinesFluency with data warehouse design practices, analytics, and visualization technologies (we use SQL, Looker, and Python)Familiarity with concepts beyond querying (schema and ETL design, and query optimization) Nice to have: Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, connect rateExperience working with revenue-generating teams such as Sales, Account Management, or Marketing Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $184,100 - USD $225,000 Zone B: USD $174,900 - USD $213,700 Zone C: USD $165,700 - USD $202,500 Zone D: USD $156,400 - USD $191,200 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Data Scientist Customer Identity Access Management

Square

Company Description Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next-generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square. Job Description Our Customer Identity and Access Management (CIAM) team sits within the Commerce Platform organization and is responsible for creating remarkable products and experiences for our sellers, developers, buyers, and more. We’re responsible for creating a shared platform for user accounts, access management, and policy enforcement. Growing Upmarket is a critical priority for Square, and this is a pivotal role to enable us to succeed. The team is responsible for foundational data models, APIs, intuitive UX for various actors to set up and manage their accounts within Square, and tooling to enable internal stakeholders to support our sellers better. This includes ownership of standards-based authentication flows and session management across the Square ecosystem for all platforms (iOS, Android, and web). As a Data Scientist on Square Commerce Platform's centralized data science team, you will leverage analytics, engineering, and machine learning to empower data-driven decision making, with the aim of ensuring a reliable, scalable, and secure platform for Square and our sellers. You will partner closely with product managers, engineers, and other data scientists to identify gaps and opportunities in our current processes, design business, and product metrics, lead experimentation initiatives to improve those metrics, and develop automated solutions to help partner teams understand the health of our core business. You will: Partner primarily with CIAM product, engineering, and design teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. You will also work closely with Risk, Payments, and other cross-functional teams. Proactively identify gaps and opportunities in our processes. Design and analyze experiments with the goal of increasing Square’s bottom line and ensuring Sellers' accounts are safe.Build ETL pipelines, dashboards, and machine learning models that enable monitoring of the health and performance of our core business.Be the subject matter expert on CIAM data. Translate requests from internal and external partner teams into questions that can be rigorously answered with data.Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media.Evangelize data best practices and be an advocate for a data-driven culture across Square. Qualifications You have:  2+ years of industry experience in data science, product analytics, or machine learning-focused roles.Proficiency in SQL and Python, as well as working knowledge in the application of statistical and modeling techniques; willingness to learn new technologies on the job.Proven track record of adding business value using data.A strong Data Engineering background. Ability to ingest and analyze large data sources independently.Proficiency in at least one visualization tool (we primarily use Looker).Strong written and verbal communication skills and the ability to build strong relationships and influence product partners.Prior experience in account security and management is beneficial, but not required.Comfort working in a dynamic work environment.  Technologies we use and teach: SQLPython (numpy, pandas, sklearn)Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)Google Cloud Platform: BigQuery, Dataflow, and ComposerAirflowLookerDatabricks Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $125,600 - USD $153,600 Zone B: USD $119,300 - USD $145,900 Zone C: USD $113,000 - USD $138,200 Zone D: USD $106,800 - USD $130,600 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Senior Data Scientist Ecommerce

Square

Company Description Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square. Job Description Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the eCommerce team is to make it incredibly easy for anyone to sell online. This role will be focused on working with the product team to build and improve the Square eCommerce experience. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements. The role will involve working on the product from end-to-end, thinking about everything from how a merchant sets up their online presence to how a shopper browses online. You’ll be formulating analyses using a rich dataset to track feature usage and performance, identify potential gaps and opportunities, and make recommendations to stakeholders. This role will challenge you to think strategically and contribute to high-level discussions with senior leadership and peers across Square. You will: Partner with product managers, engineers, and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysisApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsUse SQL on a daily basis to develop data pipelines, write complex queries, and perform analysisCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactfulDevelop, debug, and improve data models. Our product moves fast and new data doesn’t always play nice with existing models. Think about how to ingest and store data in the most useful and scalable format. Qualifications You have: 6+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) Nice to have: M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success Additional Information To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Benefits include the following: Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Senior Data Scientist Commerce Platform Inventory

Square

Company Description Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square. Job Description Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the Inventory team is to empower sellers to reliably balance supply & demand by accurately tracking and merchandising inventory across all channels and locations. As a member of the Inventory team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. You will: Partner directly with the Inventory product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to partners and team leaders in verbal, visual, and written mediaPartner with the broader team to define the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful Qualifications You have: 4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) Nice to have: M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success Additional Information Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Zone A: USD $152,100 - USD $185,900 Zone B: USD $144,500 - USD $176,700 Zone C: USD $136,900 - USD $167,300 Zone D: USD $129,300 - USD $158,100 To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. Full-time employee benefits include the following: Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources  These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. US and Canada EEOC Statement We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Data Scientist

Alkymi

At Alkymi, we’re creating products to give everyday business users the power to control the unstructured document data that fuels their business. We believe in giving the same professionals who manually handle document and email data today powerful tools to supercharge their workflows, while allowing them to seamlessly apply their human intelligence where it’s needed most. By doing this, we’re letting our users create a Data Action Layer to power products, deliver outcomes, and generate insights. Founded in 2017 in New York City, Alkymi works with some of the world’s leading businesses and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. We’re laser focused on understanding our customers’ workflows from top to bottom, and building easy-to-use, powerful, tools to meet their objectives. We combine cutting edge data science and machine learning with best-in-class software engineering to delight our users at some of the world’s most demanding and sophisticated businesses. As we continue to scale, we're seeking a Data Scientist to join our core team. Required Skills: Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.). Strong understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging. Ability to design NLP pipelines to meet customer requirements Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer). Experience with asynchronous programming is a plus. Familiarity with deep learning frameworks such as Tensorflow and Pytorch a plus. Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN) BS, MS and or PhD in Computer Science, Physics, Mathematics, etc Alkymi is creating the data action layer by turning unstructured data into actions. Its product-first approach makes it easy for non-technical users to automate operational workflows for the first time. Leading organizations deploy Alkymi to accelerate decision-making, improve customer satisfaction and empower employees to focus on high-value, rewarding work.  Alkymi was founded in 2017 in New York City by a founding team from Bloomberg, Two Sigma, and x.ai with backing from Intel Capital, Canaan, Work-Bench, SimCorp, and industry insiders. Salary Range: $100,000 - $145,000 annually + Equity + Fully Paid Company benefits + 401k + Unlimited PTO The above compensation referenced represents the expected salary for this career opportunity and is based on Alkymi's good faith belief at the time of posting. Ultimately, in determining your compensation, we'll consider multiple factors including your geographic location, professional experience, market conditions and education/training/skill level. 

Sr Data Scientist

Peakmetrics

Full-time, US-based remote Our mission is to protect enterprises and government agencies from disinformation attacks by uncovering threatening online trends and neutralizing them. PeakMetrics is a cybersecurity solution that extracts insights and creates actionable data from millions of unstructured, cross-channel media datasets in real-time. We use ML to spot adversarial online messaging, understand the audiences behind them, present context such as source credibility, and help customers respond. PeakMetrics has been battle-tested on some of today’s most complex media issues – from responding to crisis management situations to combating state-sponsored disinformation. As a Data Scientist you will work directly with our product, engineering, and leadership teams to develop data-heavy products. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. You will report directly to the Vice President of Engineering. What you will do at PeakMetrics: Research and develop algorithms for detection of social media narratives within large volumes of online content.  Conduct and establish data quality assessments.  Conduct data-driven research into misinformation and provide product data science support. Analyze data to drive optimization and improvement of product development. Use predictive modeling to increase and optimize customer experiences. Develop company A/B testing framework and test model quality. Collaborate cross functionally to better understand the end-user and the features needed to solve their problems/pain points in the product.   Grow and develop the data science capabilities, processes, and team within PeakMetrics. We would love to hear from you if you have: Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages  (Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Experience in NLP, ML and Data Visualization. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.  It would be nice if you have: 5-7 years of experience manipulating data sets and building statistical models. Advanced experience in pattern recognition and predictive modeling. Experience with marketing. $116,000 - $155,000 a year Benefits We are looking to build a truly diverse, equitable, and inclusive engineering team. We have a number of outstanding benefits to support that. We are a fully distributed team. Without a central office, everyone’s on an equal footing wherever you’re based in the United States.   We offer flexible schedules and unlimited time off. Take vacations to recharge! We’re about long-term growth and success, so that means working sustainably. We provide outstanding health care and vision coverage for you and your family. We offer a 401(k) and HSA programs. We are an equal opportunity employer and are committed to building an organization that empowers and promotes diversity, inclusion, equity and belonging (DEIB). We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Senior Data Scientist

Getty Images

Senior Data Scientist - United States (Remote ) Duration: Permanent Location: United States (Remote) Start: ASAP For 27 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action. Getty Images moves the world, whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Help us move the world with images! Getty Images is the most trusted and esteemed source of visual content in the world, with over 534 million visual assets (Video + Still) available through its industry-leading sites www.gettyimages.com and www.istock.com and 8-10 million new assets added each quarter.  The Getty Images website serves more than 842,000 creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase, and share powerful content from the world's best photographers and videographers. Getty Images works with over 496,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. Getty Images is a world leader in visual content.  We are inclusive of different voices, perspectives, and experience. We believe diversity is critical to our mission to objectively reflect the world we live in and allow our customers to illustrate that world. This means including a diverse range of voices in our content, actively pursuing diversity in our team and sources of content and listening to our customers to make sure we are as open and responsive as possible. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.      Who You Are: The mission of the Customer Data Science team at Getty Images Inc. is to gain a deep understanding of our customers - who they are, how they use our products and content, and the reasons behind their usage. Seeking an expert Data Scientist to provide data strategy and address sophisticated business and technical problems. Provide guidance and mentorship to fellow data scientists and analysts. Involved in establishing and leading all aspects of new initiatives from design to implementation and release. Skilled in mentoring and coaching team and optimally communicating analytical and technical methods to Business teams and Leadership.  Your next challenge: Solve problems and find opportunities across Marketing, Customer Success, Customer Service, Sales, and Product. Collaborate with business partners and engineering managers to implement suitable solutions that serve the business roadmap. Coach and mentor team members and assist in guiding the development and implementation of engineering standard methodologies. Delve into extensive data analysis to solve business inquiries, such as resolving prioritization of new customer segments to drive revenue growth and conduct deep strategic analysis to address business inquiries and bring data-driven approaches. Define success metrics for various teams such as Sales, Service and Ecommerce teams and construct dashboards for tracking (e.g., supervising conversion data for different customer segments, measuring renewal rates of subscription products).  Evaluate potential opportunities such as expansion into new markets to optimize customer service solutions and articulate practical analysis that aid teams in identifying areas for improvement and investment. Construct ML models, encompassing the design of success metrics, key features, and evaluation strategies. Partner with Marketing and Product teams to craft measurement plans, offer mentorship on standard methodologies for experimentation and accelerate drive decision-making through experimentation and causal inference techniques. Lead and guide the work scope of data scientists within the same domain, exemplifying high-quality output for both you and your team. Provide ongoing and constructive feedback, acknowledging individual strengths and contributions while seeing opportunities for performance improvement. What you’ll need: Proven hands-on experience as a Data Scientist in a customer-focused organization actively engaging in data-driven initiatives and projects. Strong proficiency in Python and along with expertise in utilizing the Hadoop ecosystem and standard tools such as Git, bash, and SQL to tackle data-related tasks and analyses. Hands-on involvement in handling the complete lifecycle of Machine Learning models, including tasks such as data labeling, training, and ongoing maintenance. Strong business and product understanding. Redefining ambiguous questions into well-defined analyses and success metrics that drive impactful business decisions. Excellent communication skills for collaboration and alignment. Proficiency in Machine Learning, statistical modeling, and data mining. Leadership in driving technical projects and delivering successful results. Advocate for building a diverse and hard-working team.  Mental and Physical Demands: Frequent communication with others to exchange information.  Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.  Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.  Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)  $148,000 - $200,000 a year The starting salary range for this position at time of posting is USD 148, 000 to USD 200,000. Getty Images has different ranges in different locations within the US, and this range represents the starting base pay range. Actual compensation will depend on factors including but not limited to: qualifications, geographic location, skills, experience, certification, business needs, performance, and level of responsibility along with the requirements of the position. The company reserves the right to modify this pay range at any point in the future. Getty Images is committed to the health and well-being of its employees and benefits for full-time permanent employees may include participation in the company incentive program, equity, and benefits package which is inclusive of medical, dental, vision, 401(k) match, paid company holidays and time off, and paid parental leave. Visit our career site to learn more about our career opportunities and Diversity & Inclusion commitments.  Benefits at Getty Images   Health Insurance We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.   Time off Work/life balance is important to us We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.     Company Paid Holidays Employees enjoy company-paid holidays for each of our global locations.   Disability and Life Insurance We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.    Employee Assistance Program Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.     401(k) Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!    Learning & growth We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more. __________________________ Covid-19 Company Statement: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).   US Specific: Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto). Who We Are: Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe. Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.  Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.   Getty Images works with over 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.   Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation. Leadership Principles As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally. We are trustworthy, transparent, and honest We love character, authenticity, and integrity. We always raise the bar Excellence is our norm; we get better through endeavor, curiosity, and speed. We collectively bring solutions We love debate but collaborating to solve problems for ourselves and our customers is everyone’s responsibility. We care, are kind, courteous, and respectful We will not tolerate rudeness. We reject biased behavior and discrimination We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible. We are inclusive of different voices, perspectives, and experiences Diversity and inclusion are never done, but we are passionate in their pursuit. We are one Getty Images with no silos We share goals and accountability; we and actively seek information and expertise; we make time for our peers. We deliver on our commitments, and commercial goals With one voice and shared accountability. We put the customer at the heart of everything we do We listen to, anticipate, and exceed customer needs, adapting as they evolve. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.  Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com. Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique ​​role of still and moving imagery in communication and business, and enabling creative ideas to come to life.    For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.   Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.    Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs. 

Data Scientist

Nielsen

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.  Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way.  We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.   DESCRIPTION   Member of the research and Development (R&D) team that uses advanced coding, modeling and analytics to develop future solutions and scale existing product offerings around media campaign outcomes. Contribute to the standardization and scalability of existing client solutions in the area of media, while taking accountability for key decisions. Processing (client) data, and applying advanced analytical solutions. Communicate and collaborate effectively with others to discuss complex data-driven and code-related matters. Develop new solutions for existing or future media clients. Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes. Analysis and evaluation of large and complex sets of consumer data (using data from millions of households). Perform research and development based on multiple studies and analyze data on customer demographics, preferences. Tools Python and packages for data analysis (NumPy/ SciPy/ scikit-learn/ pandas / matplotlib, AWS, Docker, Airflow, Git.   QUALIFICATIONS Minimum Requirements:Master’s Degree in mathematics, marketing, or a data-driven science related field with at least 3 years of experience in market research and data analysis (Would also accept Bachelor’s degree plus 5 years of experience). Must include: Three (3) years of experience with: Statistical analysis; Survey writing; Experimental design; Media data, survey data, and survey research methodologies; Adapting analytical methodologies to cover new data sets and new use cases. Two (2) years of experience with: Data analysis, using python packages such as NumPy, SciPy, scikit-learn, pandas, matplotlib; Python programming; Version control tools such as git. Salary:  $153,525. M-F, 40 hours/week.   About Nielsen:   Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.   #LI-DNI #IND-DNS As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.  Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Staff Research Scientist

Upstart

Auto Loans Upstart’s Auto Lending team is changing the car buying experience. We are the first of its kind to build the most sophisticated machine learning models that are revolutionizing the car buying experience. We’re a fun-loving, hard working group of trail blazers who believe anything is possible with the right team. Our product offers a fully end-to-end digital lending experience which includes our leading AI lending technology. With 53% fewer defaults at the same approval rate and 5x more risk separation than Fico, we are truly changing the game.  The Team At the heart of the auto loan product sits our underwriting models that evaluate the risk of every applicant. The auto underwriting ML team is responsible for researching and building these models and therefore have a direct impact on our company’s success. The team is part of the Machine Learning organization and consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. Because our challenges are so new, members of the team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. We are continuously seeking the next big ideas to move our business forward.   The Role As a Staff Research Scientist with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.   Position Location - This role is available in the following locations: Columbus, Austin or Remote (#LI-REMOTE) Time Zone Requirements - This team operates on either the East or West Coast time zones. Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.   What we’re looking for: Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred Generally 4-5+ years experience in autonomous research and development of high impact production models in the real world Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning Ability to discover and deliver significant improvements to Upstart's core business while setting the standard for quality and velocity Programming expertise with Python with proficiency in writing clear, bug-free and well-documented code that runs well and is easily understood Proficiency in many, with deep expertise in some- mathematical, statistical learning and machine learning concepts  Knowledge of machine learning, pipelines and engineering architecture with detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps Ability to lead several projects that may involve multiple team members Adeptness in dealing with technical challenges and trade-offs; ability to make reasonable decisions under uncertainty; and to prioritize effectively Capable of leading team members on technical best practices, providing constructive feedback and mentoring to junior team members; ability to provide comprehensive and useful design and methodology reviews for ML projects. Ability to navigate and work well with cross-functional stakeholders on projects with an understanding of how to deliver appropriate amount of technical communication communication to stakeholders to serve team or business needs Ability to communicate technical concepts to a non-technical audience Strong sense of intellectual curiosity balanced with humility, drive and teamwork Numerically-savvy and smart with ability to operate at a speedy pace Enthusiasm for and alignment with Upstart’s mission and values   What you’ll love:  Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage Personal Development and Technology & Ergonomic Budgets  Life insurance and disability benefits  Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)  Generous vacation policy 401(k) and Employee Stock Purchase Plan (ESPP) Catered lunches + snacks & drinks   The minimum base pay for this position in Colorado is $155,000 + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations. #LI-REMOTE #LI-MidSenior

Senior Data Scientist

Thrive Market

ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification. Our team is growing, this time Thrive Market is seeking to add a Senior Data Scientist to our Platform Engineering team. This is a business-critical role where you will have the opportunity to build data science the way you think it's intended for our subscribers needs.  At Thrive Market, we've created a transparent, data-centric environment from the beginning and we'll need your help applying algorithms, machine learning, and other tools across our business departments. Such as engineering, marketing, merchandising, and operations to unlock our full potential. RESPONSIBILITIES: Utilize advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze large datasets and uncover patterns, trends, and insights related to customer behavior, purchase patterns, user experience, and product performance. Collaborate with cross-functional teams to identify business problems and opportunities, and develop data-driven solutions to optimize key metrics such as conversion rates, customer lifetime value, retention, and revenue generation. Collaborate with product managers, engineers, and other teams to translate business problems into analytical projects, provide guidance on data collection and infrastructure, and ensure effective implementation of data-driven solutions. Stay abreast of the latest developments in data science, machine learning, and ecommerce trends, and identify opportunities for innovation and application within the organization. Work with cross-functional teams to build and productionalize predictive ML models to drive revenue through improved personalization and discovery e.g. recommenders, search, etc. QUALIFICATIONS: Advanced Degree (M.S. or Ph.D.) in Data Science, Statistics, Computer Science, or a related quantitative field 5+ years of experience in data science, statistical modeling, and machine learning, preferably in the ecommerce domain Strong programming skills in languages such as Python or R, and proficiency in data manipulation, analysis, and visualization using relevant libraries (e.g., pandas, NumPy, matplotlib, seaborn) Strong understanding of online advertising, A/B testing, cohort analysis, conversion optimization, customer segmentation, etc. Experience with supervised and unsupervised data mining algorithms like deep learning, support vector machines, boosting, LDA, and logistic regression, etc. Deep understanding and hands-on experience with statistical modeling, predictive analytics, and machine learning techniques (e.g., regression, clustering, decision trees, random forests, neural networks) Strong analytical and problem-solving skills with the ability to work with complex and unstructured datasets, and derive actionable insights Excellent communication skills, with the ability to present complex findings and recommendations to both technical and non-technical stakeholders Strong business acumen and the ability to understand and translate business requirements into analytical projects Proven track record of delivering data-driven solutions and driving business impact through data analysis in an e-commerce or similar industry Experience in a startup environment is a plus! Good critical thinking and problem solving skills Effective interpersonal and communication skills - we work cohesively and want to bring in folks who seek to drive unity Ability to independently lead and execute projects Curious, hungry, proactive, results-oriented, data-driven, and thrives in fast-paced, team-oriented environments BELONG TO A BETTER COMPANY: Comprehensive health benefits (medical, dental, vision, life and disability) Competitive salary (DOE) + equity 401k plan Flexible Paid Time Off Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences Stocked kitchen in our Thrive Market Home Office with Thrive Market products Dog-Friendly Office Yoga, meditation and other weekly events for mindfulness Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform Free Thrive Market membership and discount on private label products Casual atmosphere and great people to work with We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. Feeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot!  Thrive Market is an EOE/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! If you need assistance or accommodation due to a disability, please email us at eoe@thrivemarket.com and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com. © Thrive Market 2023 All rights reserved. JOB INFORMATION: Compensation Description - The base salary range for this position is $130,000 - $170,000/Per Year. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! #LI-DR1

Senior Manager Data Science

Gannett

Senior Manager, Data Science United States ● Virtual Req #38459 Wednesday, July 5, 2023 Gannett Co., Inc. (NYSE: GCI) is a subscription-led and digitally-focused media and marketing solutions company committed to empowering communities to thrive. With an unmatched reach at the national and local level, Gannett touches the lives of millions with our Pulitzer Prize-winning content, consumer experiences and benefits, and advertiser products and services. Our current portfolio of media assets includes The USA TODAY NETWORK, which includes USA TODAY, and local media organizations in 43 states in the United States, and Newsquest, a wholly-owned subsidiary operating in the United Kingdom. We also own digital marketing services companies under the brand LocaliQ, which provide a cloud-based platform of products to enable small and medium-sized businesses to accomplish their marketing goals. In addition, our portfolio includes one of the largest media-owned events businesses in the U.S., USA TODAY NETWORK Ventures. Gannett open roles are featured on various external job boards. When applying to a position at Gannett, you should be completing an application on Gannett Careers via Dayforce. Job postings directing you to complete an application on other external sites may not be valid.  To connect with us, visitwww.gannett.com Gannett is seeking a highly experienced and visionary Director of Data Science to lead our data-driven initiatives and maximize the value of our data assets. As the Director of Data Science, you will be responsible for overseeing the development and implementation of data science strategies, managing a team of data scientists, and collaborating closely with cross-functional stakeholders to drive data insights and innovation. This is a strategic leadership role that requires a deep understanding of data science methodologies, exceptional analytical skills, and the ability to translate complex technical concepts into actionable business strategies. The Director of Data Science is tasked with consistently identifying and monitoring key business risks and realizing the data needs of the business. You will manage a team of data scientists who have both technical savvy and the ability to understand how their work drives business results. You will lead the process to further intensify our focus on data science – using it to analyze our past performance as well as build a data science and modeling engine that will help us predict the future. What you’ll do: Leadership and Strategy: Develop and articulate a comprehensive data science strategy aligned with the company's goals and objectives. Provide visionary leadership, establish priorities, and set clear goals for the data science team. Collaborate with executive management to define data science initiatives that drive business growth and competitive advantage. Team Management: Build and lead a high-performing data science team, including hiring, training, mentoring, and performance management. Foster a culture of innovation, collaboration, and continuous learning within the data science team. Encourage the use of best practices, effective methodologies, and advanced analytical techniques. Data Science Project Management: Oversee the end-to-end execution of data science projects, ensuring adherence to timelines, quality standards, and budget constraints. Define project scope, deliverables, and success metrics in collaboration with stakeholders. Develop data solutions to address business pain points Monitor project progress, identify risks, and provide timely solutions to ensure successful project completion. Maintain and enhance current models, tools and data sources to deliver increasingly valuable, repeatable and scalable analytic solutions Data Insights and Innovation: Work closely with cross-functional teams to identify business challenges and opportunities that can be addressed through data analysis and modeling. Lead the exploration and evaluation of emerging data science technologies and methodologies to drive innovation and enhance data capabilities. Translate complex data insights into actionable recommendations for business stakeholders and executive leadership. Data Governance and Compliance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, integrity, and privacy. Ensure compliance with relevant regulations and industry standards related to data management and protection. Who you are: Prefer 10+ years of relevant experience in data analytics and at 5+ years of managing a team of data analysts and/or data scientists Communicator: You can communicate complex ideas clearly to technical and non-technical audiences alike. Your team knows their priorities and you manage expectations with your broader cross-functional stakeholder network and leadership team Technical: Hands-on experience with data science, model development through deployment, and subsequent monitoring. You have experience prototyping, implementing, and maintaining data science solutions in a large enterprise. Bachelors/master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. Work experience of the same is also expected.  Proven and successful experience track record of leading high-performing data science teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance. The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in Python or R and SQL, Google cloud and open source (for example, scikit learn, tensorflow, torch). Experience in an advertising-based business is a plus. #PRODUCTGNT#LI-SG1#LI-REMOTE Gannett Co., Inc. is a proud equal opportunity employer committed to building and maintaining a diverse workforce. As such, we will consider all qualified applicants for employment and do not discriminate in connection with employment decisions on the basis of an applicant or employee’s race, color, national origin, ethnicity, ancestry, citizenship status, sex, gender, gender identity, gender expression, religion, age, marital status, personal appearance (including height and weight), sexual orientation, family responsibilities, physical or mental disability, medical condition, pregnancy status (including childbirth, breastfeeding or related medical conditions), education, genetic characteristics or information, political affiliation, military or veteran status or other classifications protected by applicable federal, state and local laws in the jurisdictions where Gannett employs employees. In addition, Gannett Co., Inc. will provide applicants who require a reasonable accommodation, as a result of an applicant’s disability or religion, to complete this employment application and/or any other process in connection with an individuals’ application for employment with Gannett Co., Inc. Applicants who require such accommodation should contact Gannett Co., Inc.’s Recruitment Department at Recruit@gannett.com. Other details Job Family Enterprise Data Management Job Function Data Science Pay Type Salary Apply Now

Senior Data Scientist Clinical Research Commercial Pharma Analytics

Cigna

A career within Forsyth Health’s Data & Analytics team will provide you with the opportunity to help Pharma/Life Science organizations uncover patient and market insights. At Forsyth Health, we focus on a collection of data management, business intelligence and advanced analytics capabilities to support various functions within these organizations within these organizations to meet their business needs around market access and patient support programs. How you'll make a difference: The Sr. Data Scientist role is a key role to the enterprise and will be supporting a highly complex and growing area within the health care data and analytics services space. As a strong individual contributor, the role will lead client engagements to define, develop and communicate insights critical to Commercial, Market Access, HEOR and Evidence Generation functions at Pharma/Life Science. Responsibilities include leading Outcomes Research studies, Advanced Analytics, ML model development and general analytic support for all stakeholders.  This role will work closely with the internal Sales and Technology teams.  This person will need to be able to understand the needs within the Commercial Pharma Analytics space and translate those into actionable insights. What you'll do: Consult and communicate research insights effectively with external stakeholders to help understand complex issues and inquiries, while prescribing action or solutions.Patient analytics using Real-World Data sources such as anonymized longitudinal patient claims data, lab/diagnostic testing data, etc.Focus on providing thought leadership and technical expertise across Data & Analytic Solutions in various therapeutic areasDeliver commercial Life Sciences Market Access data analysis, including pull-through analysis, Outcomes Research, Patient Journey and Epidemiological studies.Execute HEOR research using internal and external datasets, including creating protocols and statistical analysis plans, executing research, and generating final reports for publication (manuscripts, posters, presentations)Collaborate on developing clinical patient registries and underlying analytic methodologies to augment closed claim & patient data, identify trends and provide industry insights.Assist in developing the data strategy for the enterprise.Act as liaison for shared services between Evernorth and Forsyth Health.Research and deploy new tools, applications and data frameworks that will be an enabler the team.Manage multiple projects while supervising timelines, priorities, and escalations. Qualifications & Experience: BS/MS/PhD in Computer Science, Public Health, Health Outcomes, Epidemiology, Statistics, or in any technical field that provides a solid basis for analytics highly desired.Advanced degree or equivalent and at least 5 years of experience in Payer/Pharma/Life Sciences related analytics/data science.Prior experience in Healthcare analytics, Specialty Medication analytics or Health Outcomes preferred.Prior publication experience and/or presenting at industry conferences such as ISPOR, AMCP, ASCO etc.  is preferred.A demonstrated ability to understand and effectively communicate (both verbally and written) analytic and clinical data to a varied audience.Deep healthcare data (e.g., Payer/Pharma experience, EMR Data, Medical and Pharmacy claims), statistical analysis experience, and an understanding of all the associated clinical, utilization and financial levers.General familiarity with analytic tools and solutions including Teradata, SAS, tableau, Hadoop, Python, relational databases. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 113,500 - 189,100 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group. About The Cigna Group Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Data Science Manager

Cigna

Are you passionate about healthcare, machine learning, and predictive analytics and looking for an opportunity to strive to help make prescription drug costs predictable for the average American? This role will report to the Actuarial Analytics practice and will utilize various data tools to architect data science solutions within the Medicare market and the PBM Health space. The role will be best suited for candidates with strong Machine Learning (ML) and data science background as well as an interest in working to help solve problems that will matrix and allow for development to understand the background in the Medicare Part D space to develop robust drug trends, clinical disease, and drug management solutions. This role allows for deep dive into existing actuarial analyses for the drug landscape spanning governmental drug and medical programs. Product Support & Development Construct frameworks and deploy ML to analyze large amounts of health data to identify patterns and anomalies to identify clinical and disease management opportunities.Utilize ML to identify patient comorbidities cohorts, extrapolate patient spending patterns, close information asymmetry gap, and create educational opportunities to demystify prescription drug coverage for beneficiaries.Use ML methods to improve the speed and accuracy of beneficiary risk assessments for better segmenting risk profiles and identifying at-risk beneficiaries.Perform financial analysis of proposed regulatory changes, and other program changes by CMS to determine the financial impact on various entities within the drug supply chainBuild analytics Minimum Viable Product (MVP) products and project management functions and facilitate effective pilot analytics improvement processes to accelerate and safeguard improvements.Identify and develop the right talent for the team to deliver on our innovative analytics roadmapLead technology and cultural change in Data Science within the actuarial team and organization at large to deliver data-driven health insights Client Support Advanced trend analyticsMedical Loss Ratio (MLR) / member profitability projectionsFormulary StrategyClinical Analytics around prescription drugs pipeline productsMember risk score benchmark analysisAssimilate macro and micro trends, develop benchmarks, and gather competitive intelligence to develop market competitive strategies Qualifications Bachelor’s degree in Mathematics, Statistics, Computer Science or other quantitative fields strongly preferred4+ years of Data Science, Machine Learning, Predictive Analytics or related experience Pharmacy Benefit Manager (PBM), healthcare or pharmaceutical experience preferredUnderstanding of fundamental health care and Medicare knowledge preferredProven capabilities in modeling, forecasting, and predictive analyticsStrong written and verbal communication and presentation skillsAbility to gather and analyze information to aid in the growth of existing businesses and the building of new businessesCoding skills in either SQL / SAS required; Python / R other languages preferred Understanding of Structured Data and Machine Learning Models: Experience with deep learning frameworks (like TensorFlow or PyTorch ) preferredIndustry or academic experience working on a range of Machine Learning problems.Strong data science skills with a focus on building sound and scalable Machine LearningA real passion for finding, analyzing, and incorporating the latest research, technologies, and techniques directly into a production environment.Understanding of neural networks preferred If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 95,300 - 158,900 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan. We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Senior Data Scientist

Thrive Global

Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies. As a Senior Data Scientist, you will be empowering Thrive’s cross-functional team of engineers, analysts, product managers, and stakeholders to leverage technology and data to make mission-critical decisions. You will be a foundational member of our team of data scientists, ML engineers, and data engineers and weave data-driven insights throughout Thrive’s product. You’ll define new metrics, develop and share key strategic insights, evaluate and oversee the efficacy of model outputs, and drive impact across the product team.  This role is Remote and open to candidates in UTC+1 to UTC -5  This role is open to Senior data scientists and above, Staff / Principal variants exist for the right candidates. If you’re not sure that you’re 100% qualified, but this sounds like a role you would Thrive in – we want you to apply! We believe skills are transferable and passion for our mission goes a long way. Who You Are: A hands-on contributor who enjoys working with stakeholders to identify and improve the status quo; someone who is passionate about using data for positive behavior change. A thought leader in data science, who has big ideas and the capability and tenacity to see them through to production working with engineering, data and product. A skilled communicator who can make recommendations by clearly articulating value and tradeoffs. Someone with a strong knowledge and experience in statistics and relevant programs, languages and tools Python/R and SQL. A professional who manages time and prioritizes effectively to meet deadlines. Someone who is energized by the dynamics of a start-up environment, demonstrating flexibility, resourcefulness and high energy to get work done. How You'll Contribute: Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques. Comprehend our available data, identify usable data, and propose data collections we should be thinking about.. Collaborate with product managers to drive strategy and execution to achieve product adoption objectives. Help put in place the framework and mechanisms to share insights across the organization with the goal of keeping the customer at the center of everything we do and enabling faster, more informed decision-making. Be a thought leader and go-to expert on data science and tooling. Code deliverables in tandem with the engineering team. Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different functions about the solution. Must Haves: Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience. 5+ years of experience building systems in a data scientist role; experience within a start-up environment is preferred. Technical skills R/Python and SQL, and experience with business intelligence tools such as Tableau or Looker is a plus. Strong domain knowledge of Bayesian modeling, causal inference, experimentation, and experimental methods. Project management and prioritization experience, preferably with Data Engineering, Product Management, and Software Engineering teams. Prior experience with fully integrating data science solutions into the business and operationalizing ML models with a consistent clear track record of delivery. What We Offer: Being part of a mission-driven company that’s truly making a difference in the lives of people around the world   Ability to develop within the company and shape our growth strategy A human-centric culture with a range of wellness perks and benefits A competitive compensation package Medical, dental and vision coverage + 401k program with company match Generous paid time-off programs Thrive’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.   Compensation for this role depends on level, and will likely fall in the $120K-140K range. We provide a competitive mix of salary, performance bonus, and equity Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work. Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law. Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.

Senior Product Manager Ads Contextual Intelligence

Reddit

Location: Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. Team Description: Ads Contextual Intelligence (ACI) Reddit is poised to rapidly innovate and grow like no other time in its history. The Reddit Ads team is entering an exciting new phase following the acquisition of Spiketrap, now known as Ads Contextual Intelligence (ACI) team. This unique opportunity will allow you to join a high-performing team that will shape the integration of ACI into Reddit's ad tech stack, connecting redditors with brands they love more effectively than ever before. Role Description: As the Senior Product Manager for ACI Integration, you will be responsible for overseeing the integration of the ACI technology into Reddit's ad tech stack. You will work closely with teams focused on expanding the ACI knowledge graph, processing and delivering contextual signals at scale, and creating contextual signals for text-heavy data. Your responsibilities will include: ACI Integration Strategy: Champion the product vision and strategy for integrating ACI into Reddit's ad tech stack, ensuring a seamless transition and optimal performance.Cross-functional Collaboration: Collaborate with product managers, engineers, scientists, designers, marketing, sales, and other cross-functional partners to design, implement, and launch ACI features that improve business performance and user experience.Scalability and Optimization: Identify opportunities to scale and optimize the ACI integration, driving purchase volume and return on ad spend for advertisers on Reddit.Roadmap and Execution: Own the roadmap for ACI integration and drive execution across product areas, ensuring that milestones are met and that the integration is successful. Required Qualifications: Technical degree (computer science, engineering, mathematics, economics or related field) Machine Learning Experience against large sets of contextual data  4+ years of experience working of product management experience, ideally in a technology company Some Ad Tech experience in a combination of the following domain relevant areas (e.g. machine learning, natural language processing, content understanding, knowledge graph architecture care and feeding, search / recommendations engineers, embedding optimization, ad serving, etc.) or similar relevant experience from non-ad Tech companies. Experience with building enterprise-user or end-user products A track record of developing and championing product strategy and vision A compelling influencer with strong communication and interpersonal skills Exceptional analytical and problem-solving skills Strong organizational and execution skills A track record of having quantifiable business impact North America timezone-based, west-coast ideal Preferred Qualifications: Deep experience in Ad Tech experience in a combination of the following domain relevant areas (e.g. machine learning, natural language processing, content understanding, knowledge graph architecture care and feeding, search / recommendations engineers, embedding optimization, ad serving, etc.) or similar relevant experience from non-ad Tech companies. Proven experience driving and delivering large initiatives, across teams, and on highly cross-functional products from ideation through execution. Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off #LI-AS5   #LI-Remote  

Sr Data Scientist

Hp

Per the New York state statute, the estimated range of compensation for this job at the time of this posting, is $146,500-$225,650. This position may be eligible for incentive pay, for openings where this is applicable. At HP, we believe in the power of ideas. Our vision is to create technology that makes life better for everyone, everywhere — every person, every organization, and every community around the globe. This motivates us — inspires us — to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze. The Sr. Data Scientist possesses unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. They will contribute to the development of innovative principles and ideas. They will successfully operate in HP’s most complex disciplines and provide highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function. Responsibilities Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages. Defines and implements models to uncover patterns and predictions creating business value and innovation. Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Communicating business value and innovation potential through effective insights/visualizations. Represents the business at data science events, forums, boards. Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences. Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance. Defines, communicates and drives data insights/innovation into the business. Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups. Provides guidance, training and mentoring to less experienced staff members. Knowledge & Skills Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges. Demonstrated innovation in the domains of generative pre-trained transformers, large language models, etc. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Ability to define and create complex models to pull valuable insights, predictions and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Strong analytical and problem-solving skills. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels. Scope & Impact Collaborates with peers, junior engineers, data scientists and project team. Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams. Leads multiple projects requiring data engineering solutions development. Drives design innovation. Education & Experience Bachelor's, Master's or PHD degree in Mathematics, Physics, Computational Linguistics, Computer Vision, Natural Language Understanding and Generation OR Neuro Physics. Typically, 10+ years’ experience including graduate or postgraduate research. HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

Data Scientist

Hp

Per the New York state statute, the estimated range of compensation for this job at the time of this posting, is $126,250-$194,400. This position may be eligible for incentive pay, for openings where this is applicable. At HP, we believe in the power of ideas. Our vision is to create technology that makes life better for everyone, everywhere — every person, every organization, and every community around the globe. This motivates us — inspires us — to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze. The Data Scientist applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. They will frequently contributes to the development of new ideas and methods. They will work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors, and lead and/or provide expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees. Responsibilities Mines data using modern tools and programming languages. Defines and implements models to uncover patterns and predictions creating business value and innovation. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Ties insights into effective visualizations communicating business value and innovation potential. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives. Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance. Collaborates and communicates with project team regarding project progress and issue resolution. Communicates and drives data insights/innovation into the business. Represents the data science team for all phases of larger and more-complex development projects. Provides guidance, training and mentoring to less experienced staff members. Knowledge & Skills Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges. Solid understanding of generative pre-trained transformers, large language models, etc. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Ability to define and create complex models to pull valuable insights, predictions and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Strong analytical and problem-solving skills. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate data insights and negotiate options at senior management levels. Scope & Impact Collaborates with peers, junior engineers, data scientists and project team. Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams. Leads multiple projects requiring data engineering solutions development. Drives design innovation. Education & Experience Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computational Linguistics, Computer Vision, Natural Language Understanding and Generation OR Neuro Physics. Typically, 6-10 years’ experience including graduate or postgraduate research. HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225

Data Science Lead

Spotify

Data, Research & InsightsData Science We are looking for a passionate marketing data science leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans and ultimately live off their work. Location New York or Remote Americas Job type Permanent Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners and deepen their connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability. We are looking for an experienced marketing data scientist who can generate useful insights and help shape the organization’s strategy by working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incrementally testing while at the same time setting up the data infrastructure to support our long-term marketing vision. In this role, you’ll report to the Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers and ideally a passion for music. What you'll do: Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thriveDeliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan StudyUse data insights to advise Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership teamDevelop metrics & marketing attribution models to improve our understanding of the impact and enable us to iterate Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customersBuild out and maintain dashboards to support data-driven decision-making across the wider Creator Marketing organization. Who you are: 8+ years of experience working with data to drive marketing initiativesExperience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference, or marketing mix modeling.Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etcYou are capable of solving loosely defined problems and translating complex thinking into practical applications for diverse audiences.You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real-world product or feature decisions Where you'll be: We are a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be within the Americas region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Eastern Standard time zone for collaboration Our global benefits Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - fully paid - for all new parents. All The Feels, our employee assistance program and self-care hub. Flexible public holidays, swap days off according to your values and beliefs. Learn about life at Spotify The United States base range for this position is $134,236-$191,765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Senior Data Scientist Machine Learning Nlp

Discord

What you'll be doing Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product Build predictive models on massive data sets to support high impact company projects Brainstorm, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure What you should have 4+ years of industry experience in developing and productionizing applied machine learning for solving business problems Expertise and experiences in both supervised and unsupervised learning Expertise and experiences in neural networks or reinforcement learning Expertise and experiences in modern NLP, large language models or generative AI Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics Proficiency with Python Knowledge of SQL Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks Curious, passion for learning, self-motivated, and excited about solving open-ended challenges. The ability to explain complex findings and technical approaches to a variety of audiences Desire to work with amazing, passionate all kinds of partners who care about solving challenging problems to improve Discord for its users Last but not least - a collaborative attitude and natural curiosity! Bonus Points Expertise and experiences in explainable and trustworthy ML/AI  The US base salary range for this full-time position is $204,000 to $235,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Benefits and Perks Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures) Mental health resources and quarterly wellness stipends 16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days  Paid parental leave (plus fertility, adoption and other family planning benefits) Flexible long-term work options (remote and hybrid) Volunteer time off A diverse slate of Employee Resource Groups  Plus commuter contributions and other perks for office-based employees About Us Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us! Apply Now

Associate Director Product Analytics And Data Science

Spring Health

What you’ll be doing: Conceptualize, design and execute an ambitious data science roadmap for our member experience team in partnership with product, engineering and care team leads.  You will lead, mentor and manage a team of data scientists in building out product analytics across our member experience team, helping shape goals, metrics, experimentation and dashboards Coach and mentor data scientists on the team to ensure their continued growth Define the key success metrics that provide insight into the complete member journey and experience and uncover opportunities to improve these metrics Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.  Perform analytical deep-dives to proactively identify opportunities to accelerate member growth and engagement and inform experimentations and product roadmaps.  Partner with cross functional leads in the development of data-centric product features like search and personalized recommendations You will lead the team in building out the analytical infrastructure and insightful, automated dashboards necessary to track member and engagement metrics and KPIs What we expect from you: You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you 7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity. Proven track record of success in product analytics (acquisition, activation, engagement, and retention) You have experience working with product development/design process in the context of a software product Proficiency with SQL, and tools like MixPanel/Amplitude and Looker. Familiarity with a statistical analysis language (Python or R) Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with data Ability to work in a fast-paced, mission-driven environment Passion for successfully navigating ambiguous problem areas and learning new approaches General willingness to occasionally travel (at least 1x/year) to NYC for collaborative sessions/offsites with the team What we'd love to see (Bonus): Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA Some level of comfort with data modeling and pipelining via dbt or similar tools Experience collaborating with user research teams Previous experience working in a fast-paced environment The target salary range for this position is $190,000 - $232,500, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay. Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles! Ready to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values Hypergrowth meets impact What to expect working here: You will be held accountable to an exceptionally high bar and impact This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact You will be challenged to set and protect your own boundaries You will create processes & products that have never existed before You will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows And… You get to be surrounded by some of the brightest minds in the field   You get to learn and grow at an extremely accelerated pace You will experience transparency, integrity, &  humility from leadership  You will be empowered to constantly challenge the status quo You get the space to experiment & innovate You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly You will become more resourceful and resilient You get to be part of a winning team that opens doors in the future Benefits provided by Spring Health: Your Total Health: Generous medical, dental, vision coverage available day 1 + access to One Medical 20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents Flexible paid time off in addition to 12 paid holidays throughout the year $500 per year Wellness Reimbursement Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management. Spring Health provides access to QuitGenius, a platform with technology-tailored, personalized addiction treatment plans for substance use (*QG is available to benefit-enrolled employees, spouses, and dependents age 18+) Sabbatical Leave: When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave.  You And Your family: 4-4.5 months of fully paid parental leave Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care. Access to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience.  Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses Supporting you financially through: Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively. On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company! Employer sponsored 401(k) match of up to 2% after 90 days of employment Creating a culture you can thrive in: Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices Focus Fridays: no meetings, no distractions, just time for you to get work done. Focus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members. Up to $1,000 Professional Development Reimbursement per calendar year. $200 per year donation matching to support your favorite causes

Senior Data Scientist Reinforcement Learning

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science experience with Reinforcement Learning, Deep Learning, knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries. A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must. Experience with supply chain/retail forecasting is a must. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Senior Healthcare Analytics And Research Consultant

Signify Health

How will this role have an impact? We are looking for a highly motivated and talented Senior Analytics Consultant to join our fast-growing organization. The Senior Analytics Consultant will be a key person on the Signify Intelligence team that evaluates the impact of our population health initiatives and helps the organization make data-driven decisions to drive better patients’ outcomes. The successful candidate will have extensive knowledge of and experience in working with large healthcare dataset and conducting statistical analysis, and possess strong programming skills. This position can be remote, but preferences will be given to candidates located in Dallas, TX, Fort Myers, FL, and New York What will you do? Analyze various sources of patient care and claims data, including 100% Medicare data or VRDC, to provide actionable insights to stakeholders Conduct descriptive and predictive analyses to identify opportunities to target population health interventions, improve care delivery, contribute to product and services development, and inform Signify Health’s growth strategy Designing field experiments, including randomization and quasi-experimental approaches. Monitoring study implementation and data collection. Designing and executing rapid cycle data analyses. Assist with model development for identifying and implementing clinically viable tools and initiatives for provider behavior change Proactively identify and communicate issues affecting a project plan Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries and quantitative analyses Present analysis results to internal and external audiences, including company executives, subject matter experts, delivery teams, and clinical teams within Signify Health We are looking for someone with: Required Education and Experience: Bachelor’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field. 3-6 years of relevant industry experience. Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, econometrics, health informatics, healthcare analytics or related field. Strong SQL, SAS, Python, or R skills, ability to perform effective querying involving multiple tables and subqueries. Demonstrated ability to conduct nuanced analyses to produce accurate and unbiased results and tell the story of those results in data visualizations and reports. Expertise in descriptive and predictive analysis methods. Experience with regression and classification techniques. Experience with causal analysis including designing and conducting experimental and quasi-experimental studies (e.g., randomized trials; regression discontinuity, difference-in-differences, instrumental variables, and matched designs). Deep experience with healthcare data sources such as claims, electronic health record, event notification, clinical, and patient reported data. Experience with commercial payors’ data and programs highly preferred. Advanced data manipulation and data mining skills, including experienced level in SQL programming, and R or Python. Knowledge of standard methods for measuring health care utilization, spending, quality, and outcomes; risk adjustment; provider profiling; and related analytical tasks. Examine, interpret and report results of analytical initiatives to stakeholders. Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner Ability to work independently and in team environment Proven ability to work in a fast-paced environment where client satisfaction is key Preferred Education and Experience: Master’s Degree or higher in Mathematics, Statistics, Actuarial Science or closely related field. Experience with VRDC (CMS 100% Research Identifiable Files RIF) and/or LDS (5% Sample Data) Preferred experience in one or more of the following areas: Medicare Advantage, ACO, MSSP Healthcare Economics Pricing Reserving Forecasting Data Analytics Prior experience in value-based care settings. Actuarial background is preferred but not required Proficient in Excel, Word and PowerPoint software About us: Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.  Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs. We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com.

Quantitative Risk Analyst Ii

Earnest

At Earnest, we believe in a world where paying for your education takes less time than earning your degree.  Join us on our mission to empower anyone seeking higher education to reduce the total price tag of their degree, supercharge their ability to pay down student debt, and get on the right financial track fast. A little background on Earnest: We're a remote first FinTech company with an accomplished team who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to: Build products that simplify the lending process Personalize loans to suit the needs of our customers Engage with our customers through more human experiences What makes an “Earnie” culture:  Earnies define our culture as: Earn Happy Customers Our success comes from anticipating their needs and providing the solutions they’re looking for. Better is Better The path to great means getting better every day. We push ourselves, and each other, to remain curious and think differently.   PhD in Moving Fast Our customers are tired of long wait times and large student loan bills so we constantly seek out ways to deliver faster.    Passion for Challenges Perseverance and optimism are just the start to take on the inertia of a national trillion-dollar problem.   Impact is a Team Sport We maximize our impact when we act as one team.  Our Earnie's are fun, innovative, and willing to roll up their sleeves to help their team succeed in a fast-paced environment. If this sounds like you, and you want to join us on our mission to radically disrupt a trillion dollar fintech industry, keep reading to find out how.  As the Quantitative Risk Analyst II, you will report to the and: Want to play a key role in shaping our future at Earnest? We're looking for a Quantitative Risk Analyst II, who is excited to jump into the nuts and bolts of our loan portfolios. You'll be involved in everything from production, maintenance, to development of models and processes to monitor risk. You'll be part of our essential Portfolio Risk team. Our main mission? To dive deep into the performance of our current and future loan portfolios, uncovering risks and generating insights. We're about crafting smart strategies that minimize risk and boost returns. Your role will be hands-on, analyzing our loan portfolio and getting materials ready for big meetings - whether that's with executives, the Board of Directors, Rating Agencies, or financing due diligence. If you're passionate about mitigating risk, and want to be part of a team that makes a big impact, we can't wait to hear from you. Let's explore the possibilities together! Experiences you will bring with you:  Join our  team and bring your data experience into play! We're searching for someone with a solid 3+ years in a data-focused role, preferably within credit risk, finance, or forecasting.  We value attention to detail and accuracy, especially when handling vast amounts of data. Are you adept at using SQL for data analysis? Do you have experience with statistical analysis in R or Python? Great, you're the person we're looking for!  Your understanding of loss forecasting methods and, ideally, familiarity with consumer loan products will be of immense value. Experience with Looker or a similar BI platform would be a bonus.  We believe your unique skills can help shape our future.  If you're excited about making a difference with data, we can't wait to hear from you. Let's explore the power of data together! Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits that include:  Health, Dental, & Vision benefits plus savings plans Work anywhere in the U.S.  Mac computers + work from home stipend to set up your home office Monthly internet and phone reimbursement Employee Stock Purchase Plan RSUs 401(k) plan to help you save for retirement plus a company match Robust tuition reimbursement program $1,000 travel perk on each Earnie-versary to anywhere in the world  Competitive days of annual PTO Annual “my day”  Pet insurance! Competitive parental leave Plenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual events  At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.   Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.   #LI-GA1

Product Data Scientist Ranking Homes

Hopper

About the job Hopper Homes is building the best place to book vacation rental homes at the best price. We are hiring a Product Manager to focus on improving search rank. Our goal is to enhance the visibility and discoverability of the best vacation rental homes in search results among our massive pool of listings, ensuring that our customers easily and quickly find the best options for their needs. In this role, you will leverage your expertise in ML, data analysis, and search optimization to drive significant improvements in our ranking algorithm. Working closely with the engineering team, you will be responsible for conducting thorough analyses to develop strategies that will enhance search performance. You will also collaborate with our supply team to set and drive acquisition targets based on ranking. The ideal candidate is passionate about leveraging data-driven insights to drive business impact, skilled in analyzing large datasets and search behavior patterns, capable of collaborating with & leading cross-functional teams, and executes with a strong bias towards action. This position offers a unique opportunity to drive a substantial impact on defining and evolving our ranking system, as well as drive revenue for the entire business as a whole. Note: Title and level is flexible based on the candidate’s relevant background, experience, and interview performance. Responsibilities Develop and implement metrics and frameworks to measure and optimize our search ranking performance for vacation rental homes Analyze user search behavior, industry data, and competitive benchmarks to gain insights and identify opportunities Collaborate with the engineering team to implement algorithm improvements across the end-to-end ranking stack Conduct experiments and analyze the impact of ranking and product changes to continuously refine and drive business impact Work closely with cross-functional stakeholders, including other engineers, designers, etc., to align efforts Drive the long term vision and roadmap Minimum Qualifications 2 to 4+ years of relevant work experience Strong analytical and creative problem-solving skills Strong background in relational databases, SQL, and machine learning systems Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required, both verbally and written Lead and align a full cross functional team towards a common vision and extended roadmap Proven ability to communicate complex technical work to a non-technical audience Enthusiasm and curiosity for conducting research and answering hard questions with data The ability to work with minimal guidance, be proactive, handle ambiguity, and the challenge of quickly evolving goals Preferred Qualifications Experience with ranking or recommendation systems  Experience using Amplitude, BigQuery Experience with building and deploying machine learning models Benefits Well-funded and proven startup with large ambitions, competitive salary and stock options Unlimited PTO WeWork All Access Pass OR Work-from-home stipend Entrepreneurial culture where pushing limits and taking risks is everyday business Open communication with management and company leadership Small, dynamic teams = massive impact 100% employer paid medical, dental, vision, disability and life insurance plans Access to a 401k (US) or Retirement Savings Plan (Canada) More about Hopper At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally. Here are just a few stats that demonstrate the company’s recent growth: - Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year. - The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue.  - Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. - Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. - Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month.  - Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.  Come take off with us!

Director Of Applied Data Science Media Insights

Civis Analytics

What we do At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes. This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on. We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions. Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.  Learn more about Civis at www.civisanalytics.com. Job Description Civis Analytics is seeking a Director of Applied Data Science (ADS) to lead the Media & Insights (M&I) ADS Team, responsible for setting and executing the vision for the M&I ADS team to drive departmental growth, build knowledge of data science applications within Media, improve employee satisfaction, and broaden Civis’ success with our clients that leverage Civis’ media offerings. The Applied Data Science Team is the advisory arm of Civis Analytics, working closely with some of the largest publishers, advertisers, and agencies, as well as governments, nonprofits, and campaigns to help solve their toughest challenges with data science. They are critical components of the project team and are expected to take leadership in understanding how to design and implement data science solutions for each client’s unique situation.  Responsibilities Vision and Direction. Develop and execute a vision for the M&I ADS team in partnership with the Chief Operating Officer Collaborate closely with cross functional leaders to address evolving business needs and create solutions for internal Civis teams as well as our clients   Do good work.  Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission. Partner closely with Engineering and Product leaders to oversee the development and delivery of  industry leading media measurement tools Support the team.  Manage a team of data scientists and analysts Be a mentor and coach to the members of the M&I ADS team, building a culture where team members feel valued, supported and challenged with clear paths for growth. Grow the business.  Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and leveraging expertise and credibility applying data science to media use cases Support Business Development by leading conversations to understand prospect clients’ needs, translating those needs into Civis’ solutions, and illustrating those solutions with clear support such as case studies and client success stories.   Grow our brand. Serve as a brand ambassador within the Media space through Civis presence at relevant conferences, panels and other networking events or authoring thought leadership pieces Travel requirements <15%  Minimum Qualifications Bachelor’s degree A strong foundation in statistics and data analytics to solve real-world business challenges Experience writing proposals and presenting in front of senior business leaders Experience managing teams to complete projects within scope and on time Excellent interpersonal and communication skills; ability to engage with both business and technical collaborators Demonstrated history of delivering high-quality analytic work to decision makers Experience advising or working within a data science or analytics function within an advertising agency or publisher, or in support of marketing initiatives for a brand Preferred Qualifications Proficiency in SQL and/or statistical packages (R, Python, STATA, etc) Advanced degree in an analytical subject (statistics, math, economics, physics, business, etc.). All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review.  Who we are Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.  We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow. Why join our team? Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.
 The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace. To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities. Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. EEO IS THE LAW EEO Supplement Pay Transparency

Junior Data Scientist

Rackspace

As a member of the Data Science team, you will focus on working on cutting edge customer projects in diverse area from product recommendations, fraud detection, supply chain optimization and demand forecasting.   Full of energy, fresh ideas, and ambition, you are the sort of person who loves learning new things, is open to being challenged and has the confidence to challenge us too. We are looking for fresh graduates (with < 1 yr of post-graduation experience) with the enthusiasm, creativity and business acumen to drive real innovation, and become our future leaders.  In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.  Your goal will be to help our customers analyze trends to make better decisions.  Responsibilities To develop analytical models for insight generation that improves business decision making.  Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.  Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.  Will contribute to data science team discussions, providing insight on current approaches and methods,  Follows established MLOps practices in software development.  Data science model selection and implementation.  Working independently while collaborating well within the team.  Have worked autonomously and delivered results on schedule.  Requirements Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training  Proficient with machine learning and statistics  Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)  Software development experience  Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark  Excellent communication skills  Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure  Participated in numerous data science projects.  Utilized several data science methodologies.  Attention to detail  Multi-tasking  Strong analytical skills  About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.     More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Data Scientist

Hims Hers

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. We connect consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to sexual health, hair care, mental health, skincare, primary care, and more.  With products and services available across all 50 states and Washington, D.C., Hims & Hers is on a mission to help the world feel great through the power of better health.  We believe how you feel in your body and mind transforms how you show up in life. That’s why we’re building a future where nothing stands in the way of harnessing this power. We normalize health & wellness challenges—and innovate on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so we provide access to personalized care designed for results. At our core, our mission is deeply personal—because we too are customers.  In January 2021, the company was listed on the NYSE and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com. ​​About the Role: As a Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, build models and create innovative ML solutions in telehealth that drive improvements for our business.  We are looking for someone with strong experience building and deploying data science and machine learning solutions in marketing, business analytics, and operations. You’ll be someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you! You Will: Identify opportunities to apply data science and machine learning solutions across marketing, business analytics, and operations Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques Drive projects in areas like customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting Contribute to marketing mix modeling and marketing attribution models Supervise and shape marketing and growth experimentation practices  Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes Contribute to the development of maturation of data science ecosystems, playbooks and best practices You Have: 3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields Expert-level knowledge in statistical experimentation or A/B testing principles Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python or R Expert use of SQL to support analysis and data science methods Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration) Experience with cloud-based platforms, such as Google Cloud Platform or AWS Results-oriented with strong project management and communications skills Our Benefits (there are more but here are some highlights): Employee Stock Purchase Program An inclusive culture where we are always looking for improvement and cherish your input Great compensation package, including equity Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter) Generous Parental Leave High-coverage medical, dental & vision Mental health & wellness benefits Offsite team retreats Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need Employee discounts on hims & hers & Apostrophe online products, and at the Apple Store $75 monthly connectivity stipend (phone/internet) 401k Match We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.   #LI-Remote  

Data Scientist Ii

Constructconnect

Posting Details Posted: June 21, 2023 Full-Time Locations Showing 1 location Remote - USA +2 more Job Details Description To apply for the Data Scientist II role please click on the iCIMS link below. The link will guide you to ConstructConnect's new Careers page portal. Data Scientist II in Remote -US | Careers at Remote - US (icims.com) Please do not apply via UKG, use the link above to submit your application. Privacy Notice Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Senior Data Science Manager

Included Health

Join the team reinventing healthcare! Included Health is on a mission to raise the standard of healthcare for everyone. Data Scientists at Included Health work on a problem core to the future of healthcare: how can we use data, technology, and advances in AI to disrupt the cumbersome and confusing healthcare system in the United States today? The time is NOW to leverage the latest technology to reinvent a very broken system! We strive to use personalization and automation to get our members to better clinical outcomes at lower healthcare costs, while streamlining the experience of accessing care. We are looking for an experienced manager to lead our Data Science Applications team…someone who can help establish and deliver a vision around how to use Data Science to accelerate the delivery of value to our members and clients. The Role Included Health has several Product verticals that deliver our Navigation and Virtual Care offerings. We take pride in a close Engineering-Product-Data-Design partnership through each of these verticals to help our products come to life. You will be the Data representative in these leadership quads. Your reports will embed in these Product verticals to deeply understand/influence the needs and visions of each group, and then work together to deliver value through the verticals. You will also partner closely with our Data Science Platform team. The Data Science Platform team looks for the common denominator across the Product verticals, and creates the scale required to support the Applications team. This is a relationship driven role. We are looking for someone who has experience in and enjoys cross-functional partnerships, and has a track record of influencing partners to use data-capabilities to deliver value faster. We are a company with ambitious goals, and are looking for someone who will accelerate our delivery of clinical outcomes, healthcare cost savings, member experience, and gross margin. This manager will start with 5-6 direct reports and grow the team as the company grows. Included Health has a strong culture of personal development and we are looking for leaders with a track record of coaching and mentoring their teams. Responsibilities A desire to work with a diverse, driven team to help improve clinical outcomes for hundreds of thousands of members Ambitious, humble, people smart, and problem smart At least 3 years of experience managing a Data Science team Strong technical background in Data Science, Computer Science, Mathematics, Statistics or related field Experience, aptitude, and interest in cross-functional partnerships and cross-functional influence Strong business intuition, and a track record of partnering with Data Science, Product, Engineering, Design, and Analytics teams to establish vision, strategy, and roadmaps that accelerate business value A track record of delivering impactful data-driven products from conception to production A track record of growing teams (including hiring, retaining, growing individuals, and scaling team impact) Experience or interest in healthcare Experience delivering personalization- or automation-related products Project Examples Example 1: Think about the last time you had a basic insurance coverage question. How long did you wait on hold? Was the question answered? Did the answer make sense/resolve your need? Accessing and paying for care often seems unnecessarily difficult. We are trying to create automated/self-serve experiences to quickly, easily, and accurately get basic “healthcare logistics” questions answered. Using Natural Language Processing to understand a member’s question and Large Language Models to generate responses to questions, we aim to make what should be painless in healthcare, painless.  Example 2: Not all members want or need the same healthcare experience. A relatively healthy member wants a quick and easy experience. Members with rising risks may want more education about their options. High risk members may need help with complex care management. We use various methods to segment members in order to understand their risk profile and journeys. Then we partner with our various Product teams to determine where we can apply personalization through our products to cater the experience to each member. For example, we are working on smart recommendations on our homepage, to highlight the services/benefits that we think will be most relevant to our members when they login.  Example 3: When a member is looking for a new provider, it is really difficult to know which providers are going to be best suited for their needs. Included Health is marketing-leading in our Provider Match capabilities. This is a set of hundreds of models that aims to predict the most safe, effective, accessible, relevant, and cost-efficient providers for a given member. As we move forward, we want to expand on our capabilities, and enable match to a broader set of in-person and virtual services and benefits. We also want to translate the complex logic that resides in our models to transparent member-facing tidbits to enable informed decision making. So, what are you waiting for? Come apply your data and leadership chops to a problem that is central to all of our lives! Come make a difference with Included Health! About Included Health Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com. ----- Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

Lead Data Scientist Product Growth

Loom

The Role We’re looking to add a Lead Data Scientist to our growing Product Data Science & Analytics team to help us measure the impact of our Product Growth initiatives and identify opportunities to expand the network of people who use async video at work. In this role you will help the Growth PM team drive initiatives that range from big bets that inflect Loom’s growth trajectory to quick wins that continuously remove friction for our users. We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator. Responsibilities Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and measure impact of initiatives Provide data insights through A/B testing, dashboards, user behavior analyses and ad-hoc requests Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team Lead A/B experiments from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout Build analytics plans for new products and features, helping the Product Growth team understand which metrics need to be measured and which events need to be tracked Inform future experimentation design and roadmaps by performing exploratory analysis to understand user acquisition and activation behavior Lead and mentor team members with processes and analytical and technical expertise for executing experiments, building pipelines and answering open ended business questions What We're Looking For 7+ years of experience in an analytics role turning data into insights and recommendations Strong analytical and communication skills with the ability to synthesize insights into compelling stories Experience with the SaaS customer lifecycle from acquisition to retention Experience with designing and analyzing experiments Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets Experience with a Business Intelligence tool (e.g. Tableau or Mode) Experience with a statistical scripting language (e.g. R or Python) is a plus Experience with ETL tools such as Airflow or DBT is a plus Experience in data modeling and ETL development is a plus Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights A Bachelor’s Degree in a quantitative field or higher

Product Data Scientist

Philo

Philo: TV on the Internet (TVoIP) At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data Science at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth, engagement, and retention-related problems across our streaming service. You’ll be working closely with other data scientists and engineers to build and deploy solutions directly for our service. We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. Some of the recent projects our Data Science team members have worked on include: Modeling to determine which early product behaviors predict conversion Creation of minimum detectable effect calculators for experiment sizing Deploying new content recommendation engines Identification of trending regional content Price sensitivity research and competitive market analyses Qualifications Philo is seeking a Product Data Scientist with demonstrated understanding of statistical modeling, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.  In this role the Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Responsibilities: Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features Own analytics, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features. Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings Key Qualifications: 6-10+ years of experience in a Data Science role Demonstrated ability to influence product roadmaps and business decisions with data Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques Experience with relational databases and SQL Ability to explain and present analytical methodology and results to non-technical audiences Expert with statistical analysis in either R or Python Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience More about Philo We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, and web), while delivering a large variety of content to our users.  Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content! We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers. Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E. Projected Start Date: ASAPStatus: Full-timeLocation: San Francisco, NY, Boston, or remoteCompensation: Includes annual salary between $130K-$210K depending on experience and location, company stock options, and health benefits. We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family Flexible working hours Generous paid parental leave Unlimited paid time off for vacation and sick leave $2000 annual vacation bonus (we pay you to take a two week vacation) $5000 annually for professional development and educational assistance $500 “TV stipend” for new employees to upgrade their home watching setup $1000 annual home office stipend for employees to upgrade their home work setup $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices Dog-friendly office And much more! For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors

Data Science Team Lead

Regrow

​​Who We Are: We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry! Founded by globally-recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific and scalable solutions to the agri-food industry. Our customers are frontrunners in agri-food and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable, and track partners’ progress against sustainability goals.  We're backed by leading investors, such as Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture. Our Mission: Agriculture has the power to reverse climate change. We believe science and technology can help us get there.  Our goal is to use farmland to cool the earth. We are currently monitoring 200 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet. Growth You’ll Foster As the Data Science Team Lead at Regrow, support and guide a team of 10+ remote sensing scientists and machine learning engineers as they create the data products behind our sustainable supply chain and MRV product offerings. Regrow uses a range of tools to identify regenerative agricultural practices globally, you will be working with the team as they develop production ready models for a range of agronomic activities and use cases. The data products connect directly to our end users, allowing growers and the companies that depend on them to build more sustainable supply chains.    What you will do: Drive and be accountable for the conception, architecture, engineering and delivery of the machine learning frameworks and infrastructure used by the Data Science team Oversee, mentor, and inspire a diverse team of scientists and engineers with a high degree of empathy and emotional intelligence. Grow the team to support the needs of the broader business over time. Manage the Data Science team as they design and deploy the models behind our derived data products. Assist with and coordinate the planning, design, and execution of all project deliverables across multiple simultaneous workstreams in support of programs reliant on remote sensing and data science. Qualifications:  Advanced degree or equivalent experience in Earth Science, Remote Sensing, Computer Science, Statistics, or a related field. 2+ years of experience in a technical or scientific leadership role managing, mentoring, and providing technical project management guidance to other tech team members. Exceptional skill and knowledge of Python (or other scientific programming languages).   Excellent English language communication and interpersonal skills, with a proven ability to build strong, productive relationships and teams. Desirable Skills: (bonus if you have them) Experience managing a data driven, customer facing product or service Familiarity with Google Earth Engine or other cloud-based satellite imagery analysis environment   Envision Yourself Here Does this sound like your dream job? If so, go ahead and apply for the position and we’ll be in touch. We appreciate your interest in Regrow.  While it may go without saying once you see the diversity on our current team, we encourage diversity on our team at all levels of the company. We are committed to fostering a diverse, inclusive environment and to encourage these values in everyone on our team. We provide an environment of mutual respect where opportunities are available without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion for people from all walks of life is key to our success as a company. 

Data Scientist

Paper

Reporting to the Director of Analytics, the Data Scientist is responsible for designing and developing data enabled solutions that have strategic impact on the business and are built on the latest technologies. This individual will need to balance a strong command of technical skills along with outstanding soft skills so as to communicate with both senior executives and technical team members.  This position can be located in any geography in the US or Canada. Responsibilities:  Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and distill a complex issue into actionable insights for decision makers Partner with Data Engineering teams to solve problems, identify opportunities, and build data infrastructure Analyze data independently to deliver insights about operational performance and proactively drive improvements Investigate key problem areas by performing root cause analyses, corroborating quantitative and qualitative findings Effectively plan and collaborate with functional teams (Product, Service, Revenue) on data driven initiatives to solve complex operational problems Collaborate with operations and data-focused teams within and functional areas of the business to solve problems, develop solutions and share insights Apply data expertise to successfully support cross-functional operational needs Build Reporting tools for different functional areas of the organization for self-serve options Query, transform, analyze and communicate findings effectively to answer ad-hoc analytical needs Drive data strategy in a continuous improvement framework by working with Data professionals Qualifications: BA/BS/MS in a quantitative field; Full Time diplomas in Data Science is an applicable option 3+ years of experience in data, reporting, analytical problem solving Hands on experience deploying models using Python, SQL scripts, Sheets, Tableau, and BQ Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing) 2+ years hands on experience in SQL, Python, R, and other programming languages 1+ years of experience in project managing data-centric projects SaaS experience preferred Strong communication skills with experience explaining technical concepts to technical and business partners Nice to Have:  Hands on experience building Interactive Visualizations such as Tableau, Mode, Google BQ. Experience and understanding of statistical analysis (experimentation logic and biases, hypothesis testing, probability, prevalence measurement, regressions, A/B testing) Ability to make impactful presentations Demonstrated experience collaborating with multiple stakeholders across functions and time zones Working experience within operational ecosystems Job perks: Work with a dynamic team that provides support whenever you get stuck. Remote first environment. Annual company-wide meetup. Opportunity for career development with a fast-growing company. A unique opportunity to make an impact by making education more equitable. Stipend to help support the growth of your home office. Unlimited access to tutoring for children of Paper employees.    #LI-AB01 #LI-remote

Associate Research Scientist

Harvest

About HarvestHarvest is an industry-leading, independent software company that makes tools to help businesses run more smoothly. We believe that businesses only succeed by using their time intentionally. Our products support our customers through time tracking, reporting, and forecasting features. Harvest started in 2006 as a team of three and has grown to today’s current team of over 70 with Harvesters working from around the globe. We’ve worked as a remote team since the beginning and we continue to hire the right people for the job no matter where they call home. We strive to create a workplace culture where everyone feels valued, included, and heard. One important aspect of this is continuing to create spaces for diverse life experiences and work histories. If you are a member of a group that is historically underrepresented and disadvantaged in tech, business, and society in general, we want to meet you and we encourage you to apply.About the RoleThis is an opportunity to join Harvest’s nascent data team (we’re about a year and a half old). In the short term, you will learn about Harvest’s data infrastructure from end to end. Medium-term, you will conduct research, run experiments, and help stakeholders realize their long-term vision. The team is small and there is flexibility in how you can grow as long as you bring kindness, honor time, and seek impact. Leveling for the role will be commensurate with experience. You should consider applying if: You have both a teacher and a student mindset. 16 years worth of data excites you. You're interested in growing a data practice from the ground up with a small team You value a distributed and diverse work culture. Working side-by-side with co-workers from around the world is something you cherish. You value simplicity over complexity and practicality over theory. You are skeptical, curious, and not afraid of failure. While we are quite flexible in terms of your experience level and will seek to match you to a level that works for Harvest, we require that you have at least 3 years of direct work experience that you can draw from for this role beyond formal schooling. Responsibilities Munge data, analyze and interpret results to provide both ad-hoc and scalable ongoing reporting Gather requirements from stakeholders, understand the intent of their requests along with potential business impact, and guide and execute upon those requests Guide your colleagues through the scientific method by designing and leading experiments Develop an understanding of how data moves through Harvest Build upon Harvest’s logic layer to ensure scalability and accuracy Grow in both depth and breadth in order to become a subject matter expert in given technologies and/or parts of the business Working knowledge of SQL and at least one scripting language (R or Python preferred) Knowledge of experimental design with a focus on AB testing Knowledge of statistics, hypothesis testing, and/or probability Knowledge of how a relational database works Strong written and oral communication A desire to learn and grow Nice to HaveExperience with SAAS productsWhen You ApplyPlease include responses to the following: What excites you about joining a data team in its early stages? Why did you apply to Harvest specifically? Share with us a recent project involving hypothesis testing and/or probability analysis.

Data Scientist Growth Analytics Channels

Reddit

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like how we communicate with our users, churn prediction and user segmentation. As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation. Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. How You’ll Have Impact: Today, Growth touches a large swatch of features at Reddit. As a key member of the team, you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth. What You’ll Learn: You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the onboarding strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation that will impact the entire company.  In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference. What You’ll Do: Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers) Conduct exploratory analyses to size new opportunities for onboarding or further engaging Reddits on the platform Partner with Eng and Product to define and execute Core Growth’s roadmap and initiatives Design and evaluate A/B tests and product feature experiments to influence product strategy Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards Present findings to senior leadership and inform product decisions Who You Might Be:  4+ years of experience in data analytics or related quantitative role Demonstrated ability to influence and guide product strategy with data Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Strong ability to communicate and discuss complex topics with technical & non-technical audiences Familiarity with causal inference techniques and causal models Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)

Data Scientist

Marley Spoon

Marley Spoon is the new way to cook. We bring delightful, market fresh and easy cooking back to the people while building a sustainable supply chain for a waste-free world. We’re a well-funded and publicly listed company (ASX: MMM). We operate across 3 continents and in 8 countries with over +900 employees worldwide. Being passionate foodies, we are using technology to reinvent the global food supply chain to reduce food waste. In the end, it's simple: We started Marley Spoon because we love cooking! We now have an exciting opportunity to bring a Data Scientist on board our team, working across all brands and territories. This is a once-in-a-lifetime opportunity to be part of the food revolution and join our food-tech start-up as we take our growth to the next level. As a part of the team, you'll be responsible for: Building a range of analytical models (Prescriptive, Predictive, Diagnostic, Descriptive) Building predictive and segmentation models (e.g. RFM segmentation, churn prediction, sentimental analysis, recommendation engines, next best offer, propensity scoring models, etc.) making use of relevant data from multiple data sources Deploying, maintaining and improving the models using various types of algorithms and techniques Mine data from multiple sources and to build/enhance stored procedures/functions Providing deep-dive analytical support for the business MSc or Ph.D. in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related fields Experience in a Data Science related role Hands-on experience in building segmentation and prediction models with large datasets using various algorithms and techniques (decision trees, logistic regression, neural networks, clustering, etc.) Hands-on experience in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, and PySpark) Good software engineering practices e.g. unit tests, logging, CI/CD pipelines, software patterns and experience developing production software Sound knowledge of classic prediction processes (classification, regression, ranking, time series), and inferential statistics (tests, interpretation of models) Experienced dealing with large amounts of data and knowledge of big data technologies (e.g. SageMaker, AirFlow, Snowflake, Looker) Autonomy, Impact, Collaboration, Learning & Growth Being part of a profitable company in full-blown scale-up phase - offering immense opportunities for personal & career growth Flexible working hours, a hybrid work environment and/ or full remote Spend 5% of your working time on personal learning and development Conference / Training budget Food allowance of 7.62 euros per worked day Health insurance to all employees Company training in different areas Company equipment Company Events Extra Annual leave days (total 24)

Sr Data Scientist Customer Insights Portal

Anaconda

Role: Sr. Data Scientist, Customer Insights Portal Reports to: Chief Technology Officer Department: Customer Insights Portal Location: Remote, US Job Type: Full Time, Exempt   Help us Shape the Future of Data Anaconda is the world’s most popular data science platform. With more than 26 million users, the open-source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research. Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.  Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way. Summary Anaconda is seeking a talented Sr. Data Scientist, Customer Insights Portal to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning. What You’ll Do: Help develop the roadmap and strategy for a brand new product bringing real-time insights into the world of numerical computing to decision-makers and strategists across the industry Build models to generate unique insights about how numerical computing professionals are doing their work Identify new data sources which can be used to extend and improve those models Work with data engineers, software developers, and the user experience team to design visualizations for users of the customer insights portal Interface with other product development  teams, Anaconda data scientists, and data engineers to identify new sources of data in Anaconda products and ensure correct telemetry is added Be accessible and responsive as the subject matter expert for your part of the business.   What You Need: 5+ years of experience as a data scientist building tools for production environments Experience working as part of cross-functional teams Experience with agile scrum Ability to work in a fast-paced startup environment  Ability to define and measure success with data Understanding of Python Team attitude: “I am not done until WE are done” Embody our core values:   Ability & Humility Innovation & Action Empathy & Connection Care deeply about fostering an environment where people of all backgrounds and experiences can flourish    What Will Make You Stand Out: Experience working in a fast-paced startup environment Experience building products with a Lean Startup approach Experience working in an open-source or data science-oriented company Technical undergraduate or work experience Experience with NLP and sentiment analysis Experience working with large datasets   Why You’ll Like Working Here: Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth Dynamic company that rewards high performers On the cutting edge of enterprise application of data science, machine learning, and AI Collaborative team environment that values multiple perspectives and clear thinking Employees-first culture Flexible working hours Medical, Dental, Vision, HSA, Life, and 401K Health and Remote working reimbursement  Paid parental leave - both mothers and fathers Pre-IPO stock options Open vacation policy and monthly company days off known as Snake Days 100% remote and flexible working policy – we embrace this fully through how we operate as a company.   An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.  

Data Scientist Phd

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. PhD Degree in Statistics, or related field 4+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, Power BI, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Scientist

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.Key Responsibilities Collaborate with business partners to develop innovative solutions utilizing cutting-edge techniques and tools. Effectively communicate the analytics approach and how it will address the strategic objectives to our business partners. Advocate and educate for the value of data-driven decision making; focus on the “how " and & quot; why” of solutioning Lead analytical approaches - integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate and learn with a growing team of experienced Data Scientists. Stay connected with the broader Data Science community through conferences and external engagements. Master’s Degree in Data Science, Computer Science, or related field 3+ years of Data Science and Machine Learning experience required Proficiency in SAS programming language is a must. Python & R is a value addition. Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement Machine Learning best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Advance SAS Certification is preferred Experience in moving SAS codes to production (using SAS workflow manager, TWS) is preferred Experience with data visualization tools — Tableau, Power BI, etc. a plus Exceptional communication, collaboration, and time management skills and the ability to understand stakeholder needs and deliver solutions This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Scientist Machine Learning Computer Vision

Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.Are you excited about solving real-world computer vision problems that involve millions of smart cameras from mobile devices? Are you interested in developing and advancing state-of-the-art computer vision and deep learning algorithms? This team is responsible for building large scale machine learning models for 2D/3D scene understanding, object detection, and activity recognition (e.g. delivery detection).Key Responsibilities: Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Research and develop analysis methods that extend the Media Analysis Framework, including video/image/audio processing and machine learning methods, to extract meaning and produce timestamped metadata from video content. Develop and test software components that implement your analysis methods for integration into production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems. Lead research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics. Work with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the team’s collective knowledge. Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged. Use data science and machine learning methods to bootstrap new functionalities. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related technical discipline; PhD degree or equivalent industry experience is preferred. 4+ years of Data Science and Machine Learning experience required. Strong programming and software development skills, and familiarity with Python, and deep learning frameworks (Keras, Tensorflow, PyTorch, Caffe). Practical and educational experience in machine learning and computer vision is expected. Experience with nearest neighbor search, vector databases, image matching, and image retrieval is strongly desired. Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets. Experience with AWS is a plus. Exceptional communication and collaboration skills to understand business partner needs and deliver solutions. Bias for action, with the ability to deliver outstanding results through task prioritization and time management. Experience in signal processing, video encoding and analysis, and/or deep learning isalso beneficial. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is a plus. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Senior Data Scientist Us

Within3

The Within3 data science department has an opportunity for a senior level data science/AI software engineer. We have an expansive natural language processing project where we are summarizing the most common ideas expressed in datasets of captured text. This position will own unsupervised text clustering projects, including the underlying k-means clustering methodology, automating the identification of the optimal number of clusters inherent to a dataset, and performing such text clustering on text data We build our data science software primarily in Python, but may move to C or C++ as needed. We do not use R. All code must be written robustly and efficiently with good object oriented programming skills, not quick-and-dirty throwaway scripts, and pass code reviews. Writing efficient queries to databases, mostly Cypher/Neo4j and possibly SQL, will also be necessary. Strong communication skills, both verbal and written, are stressed on our team so that we can efficiently build our products and learn from each other in a professionally supportive business environment.Responsibilities: Research and develop the latest data science methodologies into proprietary software Develop and apply proprietary modeling software to build models with a multilayer perceptron, convolutional neural network, recurrent neural network, unsupervised training, language processing, and/or Word2Vec embeddings. Build and maintain graph databases that support customer applications Natural language processing Write and maintain excellent documentation of all work. Python development, object-oriented programming, and packaging Machine learning design, especially with TensorFlow Natural language processing Database skills, especially Cypher/Neo4j Linux/Unix Basic Software DevOps (Git, GitHub, version control, test harness development) Basic AWS - Familiarity with the AWS Management console and managing data in S3 buckets) Docker - All development is required to be done with Docker to maintain a consistent development environments Ability to formulate creative, original, scientific solutions Strong requisite math and statistics education: Vector calculus, linear algebra, probability theory, statistical modeling Strong technical writing skills will be heavily stressed 5 years of experience is preferred Ph.D. in Computer Science, Math, Statistics, Physics, or closely related field strongly preferred Preferred Skills: Managing automated testing in GitHub Actions Managing and using other AWS resources, such as EC2 instances and Lambda Functions Mathematical writing in LaTeX Lower-level language development, such as C/C++, may arise Relational database design/SQL 100% Remote Health Care Plan (Medical, Dental & Vision) 401K Life Insurance Paid Time Off (Vacation, Sick & Public Holidays) A work/life balance beyond compare. And we mean it! Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at Within3 regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.

Data Scientist Analytics

Ginger

  Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!    About the Data Scientist - Analytics Role at Headspace Health: We are looking for an outstanding candidate that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders. How your skills and passion will come to life at Headspace Health: Work with organizations in Headspace Health to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights.  Examples include: Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand. Teaming with product functions to better understand product engagement, feature use patterns, etc. Maintain and add to existing analytics infrastructure (Looker). Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation. Develop expertise on mental healthcare data sets and lead their modeling to enable insights. Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions. Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that helps your data customers extract, analyze, and visualize data easier and faster. Use appropriate tools (e.g. Python, R) to analyze and visualize data. What you’ve accomplished: MS with 1+ years of experience (or BS with 2+ years of experience) in statistics, data science or appropriate quantitative fields. Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company. Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling. Experience in analyzing data statistically using Python (preferred), R, Julia or Scala. Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS). Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker). Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain. Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams. How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.   How we feel about Diversity & Inclusion: Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.  As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.  *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process. Headspace Health participates in the E-Verify Program.  

Senior Data Scientist Analytics

Ginger

  Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!  About the Senior Data Scientist - Analytics Role at Headspace Health: We are looking for an experienced analyst that can immediately contribute to our product and is passionate about helping people be their best selves. You will be working closely with our data science, product, care, and customer success teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders. How your skills and passion will come to life at Headspace Health: Focus on what we can do with our AI engine outputs / feature data (both to stakeholders in Looker as well as product) and what features we should consider building in ML moving forwards. Work with organizations in Headspace Health to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights.  Examples include: Working with coaching and clinical functions to address care-related quality assurance, measuring treatment effectiveness, assessing operational efficiency, forecasting both supply and demand. Teaming with product functions to better understand product engagement, feature use patterns, etc. Partner with machine learning engineers to validate and evaluate machine learning model outputs in both development and production environments, providing quantitative recommendations to stakeholders based on the evaluation. Realize Headspace Health’s data lake potential by building and prototyping analysis tooling (e.g. Looker connect with Python) that unlocks new classes or insights from varied data sources. Develop expertise on mental healthcare data sets and lead their modeling to enable insights. Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions. Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that help your data customers extract, analyze, and visualize data easier and faster. Use appropriate tools (e.g. Python, R) to analyze and visualize data. Maintain and add to existing analytics infrastructure (Looker). What you’ve accomplished: MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields. Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS). Experience in analyzing data statistically using Python. Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams. Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company. Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling. Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker). Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.   How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications. How we feel about Diversity & Inclusion: Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.  As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.  *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process. Headspace Health participates in the E-Verify Program.

Experienced Data Scientist Analytics

Plaid

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam. #LI-Remote Making data driven decisions is key to Plaid's culture. To support that, we need a data science team that can apply their analytical skills to understand our users and influence decision making. This includes building and maintaining core data sets and metrics, helping teams like Developer Experience and Consumer Experience design experiments and running in-depth follow up analyses, and supporting, educating, and providing guidance to teams on their product decisions. We're guided by our principles, including impact, growing together, embracing openness and positivity, and inventing tomorrow; we're looking for people motivated by those same principles. What excites you Working closely with product teams to identify important questions and answer them with dataDesigning and interpreting experiments to measure the impact of new features on PlaidDefining core data sets and schemas, as well as visualizing and tracking key metricsRunning impactful inferential analyses and data investigations to identify recurring patterns, root causes, and propose actionable product solutionsCommunicating analyses and data-backed recommendations to stakeholdersChampioning a data-first approach toward decision-making across the entire organizationMentoring and growing other data scientists into senior roles and establishing a culture of statistical excellence What excites us 5+ years of industry experience in a Product Data Science roleDeep understanding of various statistical techniques and experimentation analysis workflows  Strong familiarity with SQL, data visualization tools, and working knowledge of PythonData engineering experience and data pipeline tooling (e.g. Airflow, Redshift) experience is a plusBachelor's degree or equivalent work experience in Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Noticehere. Please review our Candidate Privacy Notice here. Apply by API At Plaid, our API is core to everything we do. In the spirit of our culture, we love receiving job applications as calls to our API. Submit a POST request to our careers endpoint Format it as a raw JSON request body We’ll get back to you with next steps! POST https://contact.plaid.com/jobs 1{2 "name": "Jenny Applicant",3 "email": "jenny@example.com",4 "resume": "https://www.example.com/your-resume.pdf",5 "phone": "555-867-5309",6 "job_id": "27233d30-ac8e-4dda-b221-300eef08794a", // leave as is7 "github": "https://github.com/octocat", // optional8 "twitter": "@example", // optional9 "website": "https://www.example.com", // optional10 "location": "San Francisco", // optional11 "favorite_candy": "m&m’s", // optional12 "superpower": "multilingual" // optional13}

Data Scientist Iii

Accuweather

Who We Need & What You’ll DoWe are building a wide range of innovative products at the crossroads between atmospheric science and Artificial Intelligence. By joining our Data Science and Machine Learning team, you will bring your unique contribution to those efforts. A non-exhaustive list of the kind of tasks you can expect to work on: Dive deep into our existing modeling framework, based on state-of-the-art deep learning and atmospheric science - you’ll learn about geospatial AI, convolutional neural networks, LSTMs, and more Design new approaches and implement them at scale in production Apply your findings to diverse topics, from air quality or precipitation forecasting to the simulation of wildfire propagation Contribute to the daily work of the team and communicate effectively on your work   Who We Are AccuWeather, recognized and documented as the most accurate source of weather forecasts and warnings in the world, has saved tens of thousands of lives, prevented hundreds of thousands of injuries and tens of billions of dollars in property damage. With global headquarters in State College, Pennsylvania; a severe weather center in Wichita, Kansas; and offices in New York City and elsewhere around the world, AccuWeather serves more than 1.5 billion people daily to help them plan their activities and get more out of their day through innovative digital media properties, such as AccuWeather.com and mobile, as well as AccuWeather For Business (AFB), radio, television, newspapers, digital out of home, the 24/7 AccuWeather Network channel and AccuWeather NOW streaming service. Additionally, AccuWeather produces and distributes news, weather content, and video for more than 180,000 third-party websites. Job Responsibilities Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of air quality, precipitation, wildfires, climate, and more Regularly present model findings and verifications along with areas of possible improvement Assemble large, complex data sets that meet business requirements Perform extraction, transformation, loading, and optimization of data from various sources Work with internal and external stakeholders including the product and executive teams to meet and exceed internal and external client expectations Deploy machine learning models into production environments   Job Qualifications 3+ years’ experience in machine learning and data science fields Experience with Python (especially Numpy and Scikit-learn) and the main deep learning frameworks (Tensorflow, PyTorch, Keras, Jax, etc.) Strong background in mathematics (probabilities, statistics, optimization, ...) Display a high level of critical thinking and analysis in bringing successful resolution to high-impact, complex, and inter-departmental challenges Ability to make prompt, sound decisions when faced with complex and often contradictory alternatives that result in successful outcomes Self-driven; strong problem-solving skills; adaptable, proactive, and willing to take ownership Strong verbal and written communication skills; excellent collaboration, reporting, and analytical skills Remote candidates in Paris are being considered for this opportunity   More About AccuWeatherAccuWeather's innovation-first promise has led to the development of many award-winning and propriety features that are available free to the public, including AccuWeather MinuteCast® Minute by Minute™ forecasts with Superior Accuracy ™, the exclusive AccuWeather RealFeel® Temperature, and AccuWeather RealImpact™ Scale for Hurricanes, among many other revolutionary products for the greater safety, convenience and comfort of our users. Further, AccuWeather serves more than half of the Fortune 500 and thousands of other businesses in the U.S. and globally. Dr. Joel N. Myers, Founder and Chief Executive Officer, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Dr. Myers, a leading creative thinker and visionary, has been named “the most accurate man in weather” by The New York Times and one of the top entrepreneurs in American history by Entrepreneur’s Encyclopedia of Entrepreneurs.   Commitment to Diversity & Inclusion AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEO is the Law poster here and its supplement here. The pay transparency policy is available here.  AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to human.resources@accuweather.com and let us know the nature of your request and your contact information.   

Senior Data Scientist Lead

Civic Eagle

We are seeking a Senior Data Scientist to lead development of cutting edge insights into legislative & public policy data. Our Data Insights team researches and develops AI techniques that help our customers cut through the fog of complex legislative data to see clearly where and when they can take action for better policy outcomes. Lawmaking often looks like information warfare; we seek to level the playing field through the delivery of accessible, automated data insights. Imagine a community advocacy group operating with a limited budget to navigate within that environment: the insights you develop could mean the difference between that group's members exercising their voice on that issue, or missing the chance. You will collaborate with data engineers, domain experts and product leadership to design data experiments, de-risk ideas, and drive those ideas into product-ready insights. This is a chance to technically lead a new team, mentor teammates, and build a culture of effective collaboration around deep domain knowledge, product strategy, and execution. This is an individual contributor role that reports to the CTO, with an option to move into people management in the future. Glimpses into our data: Hundreds of thousands of proposed laws (bills) across many years in the US Congress, 50 state legislatures (plus DC and Puerto Rico) A set of actions and documents related to each bill that are added over time: help our users identify which bills are moving/important and which are not Bill text that might be reintroduced between years, or inserted into other (ostensibly unrelated) bills: help our users catch these cases where important language appears and re-appears Bill text can be hundreds of pages for a single bill: help our users identify key entities, topics, and more What you will do: Research and develop data insights using statistical, machine learning (ML) and natural language processing techniques (NLP) Strengthen our experimental process, with an emphasis on quickly de-risking high level data insight ideas by using best practices for data science experimentation and a product mentality Contribute to a culture of effective collaboration around deep domain knowledge by diving into the domain with research-like curiosity and mentoring teammates The right person for this role: Has 3+ years of experience in data science roles Has a strong understanding of data science experimentation and foundational topics / best practices:  data fundamentals: exploratory data analysis, data augmentation, data split and versioning etc. model fundamentals: translate a problem / question into a model, model training,  parameters tuning evaluation fundamentals: error analysis, metrics, statistical significance communication: documentation, charts, presenting insights to audience at different level of technical debt Has familiarity with the data science stack:  Python SQL scientific computing libraries (numpy, pandas, scikit-learn etc.) NLP experience is a huge plus: for example familiarity with modern NLP (e.g. spacy) or deep learning libraries (e.g. hugging face). Alternatively, eager to learn NLP and happy to work towards that. Is passionate about solving problems for people doing world-changing work. Knowledge of legislative domain is a plus, but curiosity is a must Brings a product mentality: research is a tool to drive high-risk/high-reward value into the hands of real users Upholds our company values: We put people first. We believe in transparency. We are audacious thinkers and doers. Has experience and willingness to work in a remote-first, distributed team. Gets excited about delivering tools that truly move the needle for people who do important, world-changing work. Believes that diversity and communication are core strengths in an engineering team. Wants to join a startup at the stage where culture is being actively established and engineering habits are being molded. Cares about civic engagement and the health of our democracy. Salary Range Salary depends on location and experience. If you are closer to 3 years of experience, expect a range from $153K to $191K (depending on location). If you are closer to 6-10 years of experience, expect a range from $185K - $230K (depending on location). To set compensation, we use market research and a defined career advancement ladder. Our goal is to make the compensation scale equitable inside the company, rather than being driven entirely by ad hoc negotiation (which can be a vector for bias). This is certainly a challenge in the engineering market, but one we welcome in service of one of our core values: transparency.

Data Scientist

Sensor Tower

Role Summary: Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.  We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.  We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, Illinois, New Mexico, New York, Oregon, Texas and Washington. What you will be focusing on Prototype machine learning models in Python or Ruby Work with MongoDB and analyze query performance to ensure calculation efficiency Write tests for the implementation of machine learning models Collaborate with back-end engineers to understand the raw data being collected Collaborate with front-end engineers to create data visualizations for both external and internal customers Present results of various data analysis Experience which will be beneficial Degree in mathematics, statistics, or computer science Experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence Ability to write code that is ready for production (Python and Ruby preferred) Experience with adjusting data for bias Ability to communicate effectively with technical developers and non-technical marketing business partners Ability to critically analyse given data, ask probing questions, and perform own research Knowledge of statistical modeling techniques About Sensor Tower Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!  Our benefits include:  - Flexible time off so employees can shape their time away from work.  - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.  - Monthly internet stipend and a one-time $500 home office stipend. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. #LI-Remote

Senior Data Scientist

Hims Hers

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers’ mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com. As a Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply machine learning techniques to improve our products and processes. You will also partner cross-functionally with Engineering, Product, Marketing and Operations to build innovative AI/ML solutions in telehealth that drive improvements for the business.  We are looking for someone with strong experience building and deploying machine learning solutions in marketing, business analytics, and operations, someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you! Responsibilities:  Identify opportunities to apply machine learning solutions across marketing, business analytics, and operations Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques Drive projects on customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting Contribute to marketing mix modeling and marketing attribution models Supervise and shape marketing and growth experimentation practices  Partner with engineers and business stakeholders to design, develop and deploy AI/ML products end-to-end to drive business outcomes Contribute to the development of maturation of data science ecosystems and best practices Experience & Skills:  3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable Expert-level knowledge in statistical experimentation or A/B testing principles Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python, R, and SQL Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration) Experience with cloud-based machine learning platforms, such as GCP Results-oriented with strong project management and communications skills Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.