Data Science Director

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 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

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

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

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

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

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

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

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

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

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

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’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

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

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

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

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Data Scientist, Boulder, CO or Remote within U.S.¬†
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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

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.
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