Staff Data Scientist Core Experience Analytics

Location: US remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are excited to bring a Staff Data Scientist to work with our Core Experience team! This team focuses on the user experience across Reddit’s main engagement and discovery surfaces. These include our feeds (home, popular, news, and others) where users find content from across the platform, and our post and video pages where users can dive into the conversations.
As the Staff Data Scientist embedded on the team, you will uncover insights on how users consume content and engage across these surfaces, and partner with product and engineering teams to drive impact from those insights through creating new features or modifying the existing user experience. You will be one of the most senior individual contributors on the team and will help lead all parts of the product lifecycle from setting strategy, driving execution, measuring results, and using learnings to inform future decisions. You will also work closely with data scientists from other pillars, including experimentation, feeds ranking, and growth to ensure our priorities and strategies are aligned with the broader organization.
Responsibilities:

Help build the long term product vision and strategy for feeds and post detail pages to simplify the user experience and enhance engagement.
Design and measure metrics that help evaluate the health of the business and the success of our products, including ETL development needed for consistent and robust analysis
Build self-serve tools for product and engineering partners that help scale data science impact and increase data literacy in the organization
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate experiments for product features to understand the effectiveness of product strategy
Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems

Required Qualifications:

Have proven experience in data science and/or product analytics roles (6 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and the preferred programming languages of the team (R / Python)
Have a strong customer and business focus
Entrepreneurial, self-directed, and enthusiastic about solving problems
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation (please use them!) & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

#LI-Remote #LI-NH1


Senior Director Data Science

Your opportunity
We are searching for a highly capable and experienced Senior Director of Data Science to lead our Analytics and Data Science team. Our preferred candidate will be a strong hands-on business and technical leader with a strong background in the areas of data analysis, programming and statistical modeling. As the Senior Director, you will play a critical role in helping our business make data-driven decisions, providing strategic leadership and demonstrating the power of data science to drive business performance, innovation, and growth.
What you'll do
Lead, inspire, and develop an impactful data science team through strong mentoring, coaching, and vision.Partner with business collaborators to understand their challenges, and design strategies and scalable solutions to tackle these challenges using data.Establish and implement end-to-end data science project goals and schedules.Build and maintain machine learning models, forecasting tools and algorithmsDeliver practical insights to business leadership through complex data analysis.Foster a culture of fast data driven experimentation and iterative learning.
This role requires
A master's degree in Statistics, Data Science, Computer Science, or a related quantitative field; a Ph.D. is preferred.A proven experience of 12+ years in a data science role, with at least 7 years of leadership experience.Strong understanding of machine learning models, data mining, and statistical theory.Experience with data science programming languages such as Python, RDeep knowledge of SQL and experience with big data tools and platforms such as Databricks, Snowflake etc.Proven experience implementing and scaling data science capabilities in an organization.Exceptional skills in problem-solving, project management, and team leadership.Excellent oral and written communication skills with the ability to present complex statistical concepts to non-technical collaborators.
Bonus points if you have
Ph.D. in Statistics, Data Science, Computer Science, or a related field.Prior experience in the field of ObservabilityExperience in the field of observability Track record of developing and productionalizing data products


Senior Data Scientist

Your opportunity
We are seeking an experienced and dynamic Senior Data Scientist to join our team. This is an exciting role! You will be primarily responsible for driving data science focused projects and will redefine ambiguous business problems into clear, concrete insights as well as productionalizing insights. Our ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product optimization.
What you'll do
Analyzing complex datasets, applying statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression).Designing and deploying data-science and technology-based algorithmic solutions to address business needs.Collaborating effectively with internal collaborators, understanding their needs and being able to communicate data-driven recommendations.
This role requires
5+ years proven experience as a Data Scientist, or in a similar role.PhD or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field. (PhD preferred)Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, classification, regression, and time series analysis.Proficiency with data analysis tools and languages ( Python, R, SQL) and with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.).Strong problem-solving abilities, intuition for business, and excellent communication skills.Ability to work independently and with minimal direction.Shown ability in handling and delivering on multiple, contending priorities.Prior experience with managing collaborators and ability to present complex data in a clear manner to non-technical audience.
Bonus points if you have
Proven track record to translate business needs into data science / analytical initiatives.Experience in Observability is a plus


Fellow Principal Software Engineer Data Scientist

Your opportunity
As a Fellow Engineer at New Relic, you will play a crucial role in exploring new innovations and performing proof of concepts to enhance our AI and machine learning solutions for optimizing and automating IT operations. You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of New Relic’s AIOps platform.
What you'll do
Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on New Relic’s AIOps platform.Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations.Design, develop, and maintain AIOps solutions that can monitor and analyze IT data in real time, predict incidents, and automate responses.Develop and implement machine learning models for anomaly detection, root cause analysis, leveraging both supervised and unsupervised learning techniques.Implement data processing pipelines that can handle petabytes of data in real-time, leveraging technologies such as Apache Kafka, Apache Flink, and Apache Spark.Develop and maintain custom integrations with third-party IT tools and systems to enhance the AIOps platform’s capabilities.Monitor the AIOps platform’s performance and troubleshoot issues as they arise.Contribute to the documentation and knowledge base to help other teams understand and use the AIOps platform effectively.
What your playground will look like:
A constantly evolving architecture, with hundreds of containerized services across multiple agile teams.A hybrid datacenter/cloud environment ingesting over 200 petabytes of data per month, and accepting over 70 billion HTTP requests a day from our customers.Java, Kafka, Istio, Kubernetes, MySQL, Go and that’s just the beginning of the technologies in our stack.
This role requires
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, or a related field.A minimum of 10 years of software or data engineering experience 3+ years of experience designing and implementing AIOps solutions in a SaaS or cloud environment.Extensive experience in LLMs, AI, and machine learning, with a deep understanding of relevant technologies and tools.Demonstrated experience building AI proof-of-conceptsStrong understanding of Observability and the challenges associated with monitoring complex distributed systems.Experience with generative AI techniques, such as GANs and VAEs, and a track record of applying them in practical settings.Passion for continuous learning and staying up-to-date with the latest trends and technologies in the AI and Observability industries.Strong collaboration skills and ability to work effectively with cross-functional teams.Proven track record of delivering results and meeting or exceeding business objectives.Strong written and verbal communication skills.
Bonus points if you have
Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark.Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.


Lead Data Scientist

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people’s lives around the world. And we know that success requires head, heart, AND guts — all three, every day — coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer!
Your role at Clorox:
Clorox is undergoing a remarkable transformation in its data and technology capabilities and culture to propel purpose-driven business growth. We are searching for a dynamic leader to spearhead this endeavor, someone who can construct and integrate innovative predictive data science solutions into pivotal decision-making moments. This visionary individual will enhance the everyday experiences of our employees, customers, and consumers, while also enabling faster informed decisions, streamlined operations, and the exploration of new value streams.
In this role, you will:
Lead the implementation of AI/ML-based modeling engines to drive advanced integrated business planning capability
Partner with cross-functional business teams, Data Architecture and Engineering to design, develop, and deploy AI/ML models to deliver highly interpretable forecasts and productionize the capability across all business units based on ML Ops processTranslate requirements into necessary technologies and development plan, guide the application of leading AI/ML practices in building and deploying scalable business solutionsDirect a team of data scientists and ML engineers to navigate, collaborate, and deliver production-grade code in a complex industrialized code baseOversee implementation, testing, and post-production maintenance of AI/ML modelsManage project timeline and achieve milestones
Elevate Enterprise Data Science capabilities
Monitor external data science trends, identify opportunities and implications, and proactively develop best-in-class processes and techniques to leverage data science across consumer touchpoints and business operationsPartner with business and functional stakeholders to ideate, define, and prioritize high impact data science use cases and initiatives for the CompanyPromote data science adoption across the Company through training, events, and consulting
Coach and develop enterprise and functional data science talents
Attract, develop, and retain Enterprise Data Science team members; Coordinate data science talent management across functions, including career pathing, capability planning, and collaborative talent planningLead a team of Data Scientists, manage their capacity deployment, oversee the output from their work in terms of content, quality, and timeline, establish and steer collective and individual performance objectivesProvide guidance to data scientists on analytical and modeling choices to support their day-to-day activities
What we look for:
10 plus years of experience in business-facing data science and analytics roles3 plus years as an established leader of data science teams that successfully delivered data-driven solutions and in production settings (This role REQUIRES experience managing direct reports.)Demonstrated ability to establish vision and strategy and lead implementationTrack record of delivering analytics products and insights, and influencing business decisionsAbility to provide technical leadership across a variety of capabilities for business applications and commercial experience in building machine learning models in production settingsDeep understanding and experience with advanced statistics, time series forecasting, machine-learning models, and model architecture design & execution; experience in optimization / operations research is a plusDeep hands-on experience in building machine-learning models and ML Ops processes in a business contextExperience in building modern data science pipelines and deploying them to cloud environments, including data pipelines that ETL data from multiple sourcesProven experience supervising others developing industrialized data & modeling pipelinesExpertise with open-source data science and statistics packages, including machine learning and deep learning frameworks (TensorFlow, PyTorch, Scikit-Learn, Pandas, statsmodels, etc.)Proficiency in SQL and Python required; Pyspark / R / Scala a plusKnowledge of standard SDLC process and DevOps including version-control (Github/svn) and CI/CDExperience working with cloud and big data ecosystems (Azure/GCP/AWS, Spark, Hive, DataBricks)Experience using visualization tools (Power BI, Tableau, etc.) is a plusKnowledge of demand forecasting and supply chain operations is a plusExcellent communications skills: Ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; Ability to convey insight through storytellingSelf-starter comfortable with ambiguity: Problem solver; Able to identify needs, develop a plan of action, and implement; Excellent time and project management skillsStrong interpersonal, relationship building, and influence skillsDemonstrated ability to attract, hire, coach, and inspire talentMaster’s or PhD degree in Data Science, Computer Science, Statistics, or related quantitative discipline. Specialization or coursework in Data Science / ML / AI preferred
Workplace type:
Hybrid
We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.
At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.
[U.S.]Additional Information:
At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more.
We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area.
–Zone A: $138,100 - $277,400
–Zone B: $126,600 - $254,300
–Zone C: $115,100 - $231,200
All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process.
This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies.
Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.


Senior Data Scientist

Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Authorization to work in the United States without sponsorship.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
#LI-TheAcorn#LI-Remote


Sr Data Scientist

The Company
Did you know there is over $1 trillion of waste every year in healthcare? One of the biggest contributors to the staggering amount of waste is inefficient operations. If you’ve ever spent hours waiting in the ER; if a hospitalized family member experienced a delayed discharge; if you’ve had to schedule a surgical procedure far into the future due to lack of available Operating Room time — then you understand the kinds of problems we solve.
Our mission is to simplify how healthcare operates.  We partner with health systems to automate care operations — all of the operational activities involved in delivering care, from discharge planning, to OR access, to patient flow, and more. Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system. Solving those problems not only benefits patients, but it also eases the burden on physicians and nurses, and drives significant economic value for hospitals as well.
We work with leading health systems, academic medical centers, and community hospitals across the country.  We’ve raised over $95M in funding from some of healthcare’s leading investors, including Thomas H. Lee Partners, Bessemer Venture Partners, Norwest Ventures Partners, Mayfield Fund, and more. We’ve also been recognized by Fast Company’s 2022 World Changing Ideas Awards, The Robert Wood Johnson Foundation, CB Insights, and more.
Are you interested in simplifying how healthcare operates? Then join our amazing, mission-driven team and help health systems discover world-class operations that are essential to delivering world-class care.
The role
Qventus is looking for Senior Data Scientists to help lead  the next generation of Qventus’s AI in our Perioperative solution. You’ll join a cross-functional team of clinicians, data scientists, data platformer engineers, and product experts to help support optimized surgical scheduling and operations to get patients the right care faster and more efficiently across the country.
As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus’ unique and rich Healthcare dataset to develop cutting edge solutions leveraging a wide range of  machine learning, statistical,  and other mathematical optimizations. You will evaluate potential modeling approaches, build features together with data platform engineering partners, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes.  What we do can meaningfully change, and in some cases save, lives.
Core Responsibilities
Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful machine learning and other mathematicalCollaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areasDesign comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settingsCreate tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners.
Key Qualifications
4+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform.Proven ability to work with domain experts to develop and tailor algorithmic solutions to problems in healthcare, particularly in the inpatient or perioperative settings Functional knowledge of at least one scripting language (Python preferred) and SQLDedication to mentorship and growing strong collaborative data science teamsStrong cross-functional communication with technical and non-technical partners
Nice to Have
5+ years research experience using a wide variety of statistical and machine learning techniques - particularly in operations research modeling, incl. MILP, Constraint Programming, etc.Excellent SQL - hands on experience manipulating data sets, data cleaning, and pipelinesStrong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability.Experience with healthcare data and industryPractical hands on experience with:Natural Language Processing or Understanding techniques and productionalizationDeep Learning modeling techniques and infrastructureEcosystem of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, DatabricksData analytics tools (Looker preferred)Master’s degree in Computer Science, Engineering, or related field, or equivalent training / experience
We consider several factors when determining compensation, including location, experience, and other job-related factors.
Salary Range: $150,000 to $179,000 annually + equity + benefits- Qventus expects to hire for this position near the middle of the range. Only in truly rare or exceptional circumstances where a candidate's experience, credentials, or expertise far exceed those required or expected will we consider and offer at the top of the salary range.
Qventus offers a competitive benefits package including medical, dental, vision, paid time off, company holidays, and a stock option plan.
Qventus is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
#LI-REMOTE


Pharmacy Data Scientist R

Company

Job Type
Full time
Requisition
JR002678
Last Updated
2023-07-24
Department
Pharmacy Services
Job Locations
Remote- United States
Job Summary
The Pharmacy Data scientist will play a critical role in Rite Aid's strategic transformation across a wide array of Strategic initiatives that support the Company's RxEvolution, with initial focus on pharmacy and Market access initiatives. The individual will work directly with the Vice President Pharmacy services on Rite Aid's most high-profile projects, including defining, scoping, strategy development and implementation. The role will serve as internal consultant, supporting key strategic initiatives and will be responsible for making detailed assessments and recommendations, with initial focus on Pharmacy adherence, market access, PBM initiatives, and clinical service opportunities to grow and transform our business. Frequent independent judgments are essential. The incumbent is also required to perform all tasks in observance of Rite Aid’s brand and strategy and adhere to our core values and service attributes.
Job Responsibilities
Build the statistical model to identify trends within the data and mange data to uncover solutions to business problems.Work independently to oversee multiple projects simultaneously and be responsible for contributing to and collaborating to develop business solutions.Define, lead and execute a broad array of initiatives with responsibility for creating a data-driven retail activation programs that support key business objectives, grow customer acquisitions, increase brand engagement and generate incremental retail sales.Deep understanding of competitive retail environment, deriving insights, innovation, consumer trends, and identify white space opportunities for competitive advantage. Uncover innovation, research best practices and create horizon plans to accelerate omni-channel retail experience.Use independent judgment to identify trends and make business recommendation based on findingsUtilize data visualization skills to create impactful presentations that clearly communicate insights for any level of the organizationAct as a strategic thought partner to the business teams; including Pharmacy operations, Clinical operations, Market Access, Medication adherence, and performance based programs. Leverage first-and third-party data to proactively uncover and amplify the most actionable insights
qualifications
• Bachelor’s Degree in Arts/Sciences (BA/BS) Data Science or other related required.
• 3 years of experience in Data analytics, which includes creating algorithm and data models to forecast outcomes required.• 2 years of experience in Building statistical models and using machine learning techniques with large data set required.• Background in retail customer value proposition and/or healthcare; Experience working with retail data, market condition analysis preferred.• Experience utilizing programming language such SQL, python, R and or SAS required.• Ability to conduct high level presentation and communicate recommendation to stakeholders required.
“The typical starting pay range for this position is between ($66,500 - $100,000), although wages can vary based on experience and geography."
LI# remote
LI - PC1
Fair Chance Act
Fair Chance Act Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the California Fair Chance Act, we will consider qualified applicants with a criminal history. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we identify a conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Find out more about the Fair Chance Act by visiting the Civil Right’s Department Fair Chance Act webpage.
For more detailed information around city/state required notices, click here to access a list of disclosures.
New Jersey Law Against Discrimination (LAD)
The New Jersey Law Against Discrimination (LAD) prohibits unlawful employment discrimination based on an individual's race, creed, color, national origin, nationality, ancestry, age, sex (including pregnancy), familial status, marital/civil union status, religion, domestic partnership status, affectional or sexual orientation, gender identity and expression, atypical hereditary cellular or blood trait, genetic information, liability for military service, and mental or physical disability (including perceived disability, and AIDS and HIV status).

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Senior Principal Data Scientist

Company Description
Vericast is a premier marketing solutions company that accelerates profitable revenue growth for the thousands of businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily.  We are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients.  For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.
Job Description
Seeking a highly skilled and accomplished Senior Principal Data Scientist to join our team, making a significant impact in the dynamic world of data science and digital media. We are looking for a talented individual who brings deep insights and expertise in all aspects of data science and digital media. This is an opportunity for someone who has earned a stellar reputation in the field and is passionate about applying their knowledge to design, conduct, and analyze large-scale data from diverse sources.
As a technical leader, you will play a pivotal role in shaping data analyses and strategies, contributing to the development of cutting-edge data science, digital media, and data engineering systems, as well as end-to-end applications and platforms. Your proficiency in data science algorithms, artificial intelligence, and underlying technologies will be crucial in driving innovation and excellence.
Collaboration is key, and you will have the chance to work closely with cross-functional teams, guiding and providing technical expertise in data science areas. Your ability to communicate effectively will foster seamless cooperation between team members from various disciplines.
Key Duties and Responsibilities
Use state of the art computational and statistical methods for exploratory data analysis (EDA) to find patterns, anomalies, and deliver insights from very large data sets.Design and run experiments, conduct research into new algorithms, improve data quality and identify key insights.Work with product teams as an individual contributor and/or a technical leader to significantly contribute to data analyses and strategies, design and implementation of current (or future) versions (or multiple concurrently developed versions) of large-scale data science, digital media, data engineering systems, and end-to-end applications.Be a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages, systems, platforms)Define and shape the data needed for training ML models for a wide variety of cases and scenarios.Leverage existing data to track and analyze user behaviors and engagements for productive modeling.Work with third party vendors to design and develop end-to-end data solutions and/or to integrate their data into the company’s products.Evaluate new technologies and data products to determine feasibility and desirability of incorporating new capabilities within the company's software systems and applications.Frequently serve as technical data science and digital media lead for large cross-team projects, determining implementation tasks, tradeoffs, milestones, and assigning tasks to other team members on multiple teams.
Qualifications
Education
Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)Doctorate Degree (Preferred)In lieu of the above education requirements, a combination of experience and education will be considered when appropriate.
Experience
10+ years Relevant Experience (Required)
Knowledge/Skills/Abilities
There’s never a single right way to solve a problem. We’ve found a variety of backgrounds to be highly successful including specialties in Econometrics, Graph Theory, and Computational Sciences. If you’re a creative problem solver, your background will be valued.Prior experience in digital marketing technology and the desire to keep up with industry trends is a major plus.Strong technical proficiency in machine learning algorithms, scalable machine learning platforms, languages, and tools (Python, Spark) in a corporate setting.Desire to produce impactful solutions with broad influence while collaborating with other Data Scientists and Engineers.Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering, and product management).
Additional Information
Salary: $215,000-235,000
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.
#LI-LC1
#LI-Remote


Data Scientist

Who is Flock?
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global.  Now surpassing a 3B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information

How To Succeed at Flock Video
Flock’s Series E Announcement
How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center

The Role
Flock is looking for a passionate Ops Data Scientist to explore, mine, and build data, and leverage it using advanced analytical techniques to help drive critical business decisions.
How you’ll make an impact:

Perform analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities

We’re looking for people who have:

BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
3+ years proven experience as a data scientist, ML engineer, or BI engineer
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Experience modeling data to drive analytics
Experience in Tableau
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
Our Values
Our values define how we approach our work every single day:

Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community

To read more about our values click here.
Why Join Us?
While being surrounded by a bunch of cool people working to eliminate crime is its own reward, we have plenty more to offer:

We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more
91% of our employees recommend working here
We have an audacious goal of reducing crime in the United States by 25% over the next three years
3% of crimes in the US are solved by Flock, and we help to solve ~200 crimes a day

We partner with 2100+ cities and 1500+ agencies across the US and process 1.1B+ images a week (we process more images than Instagram 🤯)

The Perks
💰Salary & Equity: In this role, you’ll receive a starting salary of $155,000-$175,000 as well as stock options
🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
⚕Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility.
🧠Mental Health: All employees receive an annual subscription to Headspace
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.


Data Scientist Analytics

We Are Overstock:At Overstock.com, we believe that everyone should “Be You!”. Overstock is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.This position is eligible for remote work. Currently we can hire employees in the following states: Arizona, California, Connecticut, Florida, Idaho, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming. This role will have occasional on site expectations.This influential position supports Overstock's internal search team in extracting insights and trends from Overstock's product search engine. Search is a significant component of Overstock's service and impacts many internal organizations, thus tracking the performance of the search engine and communicating results is the key responsibility of this role; your job will inform many departments on what is working and what isn't – hypothesis testing and statistical modeling will be crucial in supporting your work. Additionally, finding actionable insights is an important responsibility of this role. The analyst will also be responsible for impact analysis on concepts such as product conversion and search engine performance, as well as creating and measuring specific performance metrics. An ideal candidate will have a strong background in manipulating and analyzing large, unstructured data sets, the ability to scrub data and identify noise, as well as possessing excellent abilities in expressing results through data visualization and synopsis.Job Responsibilities
Hypothesis Testing and the analysis of results
Time Series Analysis
Determine pain points in search effecting customer experience
Obtain, join, scrub, explore, model, and interpret large datasets
Transform and manipulate large dataset to suit the desired analysis
Create reports on user trends, user behavior and product engagement
Data cleaning
Summarizing and presenting data insights to the internal search team, analytics group, and upper management
Perform other duties as required and assigned by manager and upper management.
Follow legal policies as directed.
 Job RequirementsRequiredo   1-3 years of relevant work experienceo   Strong intellectual curiosity combined with a knack for recognizing correlations and trendso   Experience with relational databases and SQLo   Experience with data access BI tools (ie Tableau, VI, Microstrategy)o   Proven track record of hypothesis testing and statistical analyseso   Basic understanding of HDFS and Website trackingo   Experience reporting on user metricsPreferredo   3+ years relevant experienceo   Experience in E-Commerceo   Strong understanding of R, Python, SAS or Juliao   Experience with Causal Inferenceo   Natural Language Processing experienceSkills
Command of Microsoft Office applications, particularly Microsoft Excel
Experience with relational databases (SQL, Microsoft Access, etc.)
Familiarity with statistical data analysis (R,SAS, SPSS, Python, etc.)
Python or similar programing experience
Base Salary Range - $88,000 - $110,000EducationUndergraduate degree in Statistics, Mathematics, Marketing/Business Analytics or another related STEM fieldWho We Are:We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.
What We Offer:
401k (6% match)
Flexible Schedules
Onsite Health Clinic
Tuition Reimbursement, Leadership Development Program, & Mentorship Program
Onsite Fitness Center
Overstock Women's Network (OWN)
And More…
*Benefits vary based on position, tenure, location, and employee electionPhysical Requirements:This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates.  This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.Back to Overstock Careers


Senior Data Scientist

Come join our Artificial Intelligence team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.
What you will do
As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data and providing actionable recommendations for innovative products we can build as we continue to grow and scale. Collaborating with a small team of Software Engineers, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.

Contribute to Karat’s AI strategy and initiatives by creating a suite of AI product enhancements that will help to further establish Karat as a thought leader in AI for technical hiring.
Collaborate in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
Nurture conversations within Karat by educating teammates about AI, data science and machine learning.

The experience you will bring

7+ years of tech industry experience in data science, machine learning, AI, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services


Director Of Artificial Intelligence

Come join our AI team
Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictability, less bias, and previously unimaginable efficiency.
What you will do
As the Director of AI at Karat, you will drive innovation by extracting critical insights from our data and providing actionable recommendations for innovative products we can build into the Karat platform as we scale. Leading a small team of Engineers and Data Scientists, you will innovate on top of Karat’s own and external data, leverage cutting-edge AI technology like LLMs, carryout complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.
This role requires a proven track record of practical experience in developing and implementing data science and AI solutions, personally leading complex analytical projects, and getting involved in the technical aspects of data analysis.
Karat’s HQ is based in Seattle, Washington, with employees distributed throughout the U.S, Canada, India, and United Kingdom. This position is only available in the United States, excluding Alaska and Hawaii. Immigration sponsorship is available for this position.

Lead Karat’s AI strategy and initiatives by creating a suite of AI product enhancements and further establishing Karat as a thought leader in AI for technical hiring.
Work in close partnership with the broader data and engineering teams to increase the signal captured during technical interviews in order to maximize the product value provided to clients.
Partner with company leadership to optimize and build ways in which we can collect richer data about user interactions.
Prototype and build solutions to continuously scale our platform in order to serve a constantly increasing number of interviews with a flexible network.
Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.

The experience you will bring

5+ years of leading teams and relevant data science and AI work experience.
Successful track record in leading teams that built AI and data science models and products.
Strong data analysis and scientific thinking skills with deep knowledge of statistics and rigorous analytical techniques.
A track record of personally designing and implementing advanced analytics models and solutions
History delivering insights and launching ML models that have provided high-value to the business.
Experience with machine learning, data science and modern data processing technologies.


Senior Data Scientist

At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to ourmission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
What you’ll be doing (ie. job duties):

Act as a strategic partner to functional teams: initiate and execute deep analyses and models to prioritize opportunities and provide actionable recommendations.

Design and guide experiments/analysis to measure impact and drive product improvements.

Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.

Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.

Conduct deep dives to help solve complex problems to drive impact for our business.

Initiate, develop, and maintain data pipelines with outstanding craftsmanship.

What we look for in you (ie. job requirements):

BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with 5+ years relevant experience, or or PhD degree in a related field with + 2 years of relevant experience.

Ability to independently create plans for projects and a track record of overseeing large / complex analytical projects spanning multiple teams.

Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.).

Experience in data analyses using SQL.

Experience in at least one programming language (preferably Python).

Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:

Data engineering skills + a willingness to do lower level work to improve data foundations as needed.

ID: G2462
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$140,250—$206,000 USD
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Know Your Rights notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.


Senior Data Scientist

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
This is a full-time position reporting to the Manager, Product Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in Mexico who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What’s this team like at Etsy?
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways
Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community
What does the day-to-day look like?
Partner with the Commit team, whose focus is motivating buyers to convert with relevant information at crucial moments in the customer journey.
Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.
Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment results.
Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation.
Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
Fluency in both English and Spanish
Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with Spark and Looker, Tableau, or other data visualization software.
Deep understanding of experimentation theory and practice.
Specialize in sophisticated analyses and regularly use statistical methods in your work
Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.
Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions.
Passionate about reproducible work and have picked up tools to this end.
Acted as a mentor, guiding others to make their own work better and more efficient.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.


Lead Senior Data Scientist

Lead/Senior Data Scientist
Data Scientist I
Who we are:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of over 29,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.
Visit us at UST.com.
You Are:
UST is searching for a Lead/Senior Data Scientist who under supervision, will leverage data to arrive at business solutions and creates prototypes of the solution to define analytics roadmap for clients, thereby bringing in business to the organization.
The Opportunity:
Work with stakeholders and creates quick prototypes of the solution to define the analytics roadmap.
Work with business to understand the business domain and convert business problems into an analytics problem
Create or use existing frameworks to test and validate new models
Explain models and put results in easy to interpret manner such that a non-analytic person can understand
Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision-making.
Adhere to best practices of coding
This position description identifies the responsibilities and tasks typically associated with the performance of the position.  Other relevant essential functions may be required
What you need:
Programming languages – Java/ Python/ R.
Web Services - Redshift, S3, Spark, DigitalOcean, etc.
Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Computing Tools - Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Database languages such as SQL, NoSQL
Analytical tools and languages such as SAS & Mahout.
Practical experience with ETL, data processing, etc.
Proficiency in MATLAB.
Data visualization software such as Tableau or Qlik.
Proficient in Mathematics and Calculations.
Spreadsheet tools such as Microsoft Excel or Google Sheets
DBMS
Operating Systems and software platforms
Knowledge about customer domain and about subdomain where the problem is solved
Proficient in at least 1 version control tool like git, bitbucket
Have experience working with project management tools like Jira
Data Science based high-performance application development knowledge is required.
NLP and Computer Vision tools and libraries – OpenCV, spaCY, Transformers, Attention models, etc.
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience.  As required by local law, UST provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York City, or Washington as set forth below.
Role Location: Range of Starting Pay for Role
Remote: $129,000-$193,000
Our full-time, regular associates are eligible for 401K matching, and vacation accrual and are covered from day 1 for paid sick time, healthcare, dental, vision, life, and disability insurance benefits. Depending on the role, some associates may also be eligible for stock options.
What we believe:
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.
Humility:
We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.
Humanity:
Through business, we will better the lives of those less fortunate than ourselves.
Integrity:
We honor our commitments and act with responsibility in all our relationships.
Equal Employment Opportunity Statement
UST is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.


Data Scientist

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive growth and revenue of Green Dot’s Business, Enterprise-wide. Our data science team works on several projects across the entire company including Churn Modelling and Customer Scoring for Marketing efforts, Revenue Prediction Modeling for Accounting and Finance and Cash Advance Customer Modeling for our Award-Winning Tax Products.We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions.  The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well.  The candidate will be reporting to the Lead Data Scientist within our Data Analytics department.Job Responsibilities
Maintain and train existing business-critical models and support the Data Science team.
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals.
Own and deliver predictive modeling/analytics projects of small or moderate scope or manage tasks on complex data science projects.
Define, write queries, and extract and transform data sets to create features for modeling and/or generate actionable insights using various tools (SQL Server, Python, R)
Collaborate with other Data Scientists and Analytics teams across the Enterprise to help ensure a cohesive and strategic implementation of our data capabilities.
Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed).
Learn and grow in the role over time, utilizing the multitude of available resources (people and technologies) and become a strategic leader, helping to grow our Data Science capabilities.
Perform other duties as needed.

Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters in a similar field is a plus.
2 or more years of experience in data science or advanced analytics based on education/experience.
Solid understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Experience with Sagemaker, Lambda or other services for model deployment and monitoring.
Experience with various machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, neural networks, clustering, etc.

Proficiency writing SQL queries (i.e. Amazon Redshift, MS-SQL Server, etc.) and working with large data sets.
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory).
Experience developing and/or maintaining business reporting using business intelligence or reporting tools such as Excel, Tableau, MicroStrategy or similar tools.
Proactive work style, progressive thinking skills, strong work ethic, communication, and problem-solving skills.

Experience with Sagemaker, Lambda and other AWS services for model deployment and monitoring
Experience with various machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, neural networks, clustering, etc.

POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.


Data Scientist

eSimplicity is modern digital services company that delivers innovative federal and commercial IT solutions designed to improve the health and lives of millions of Americans while defending our national interests. Our solutions and services improve healthcare for millions of Americans, protect our borders, and defend our country on the battlefields supporting the Air Force, Space Force, and Navy.

eSimplicity's people-centric approach aims to transform the American healthcare experience through innovative technologies. Our team’s experience spans various federal civilian customers on diverse projects across its core competencies. Our priority is to safeguard our community by leading the government’s cloud migration, developing artificial intelligence models to identify fraudulent Medicare claims, and accelerating access to data and insights.

Requirement

The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing analytic rules and models using leading edge fraud analytic tools and best practices.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) of data management and advanced analytic techniques.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) using data sciences to detect and prevent fraud, waste, abuse, and mismanagement.
The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
The Data Scientist must have two (2) or more years of hands-on experience coding rules and models using open-source programming techniques and tools, including R and/or Python.
The Data Scientist must have two (2) or more years of hands-on experience creating rule-based statistical models using SAS and SQL. Strong oral and written skills are required.
The Data Scientist must demonstrate at least two (2) years of hands-on experience working with graph databases and topologies (e.g. nearest neighbor).
The Data Scientist must demonstrate at least two (2) years of hands-on experience building data pipelines.
It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using PowerBI.
It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using Azure cloud services.

eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.

Occasional travel for training and project meetings. It is estimated to be less than 5% per year.

Benefits:
We offer highly competitive salary, full healthcare benefits, performance bonus, and a flexible leave policy.

Equal Employment Opportunity:
eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.


Data Scientist Insurance Modeling

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.
We are the Good Hands. We don’t follow the trends. We set them.
Job Summary:
Analytics is responsible for aligning with and contributing to corporate growth and profitability objectives by providing expert guidance, influencing business strategies, executing flawlessly, and rigorously defending our work.
This position will work on the Modeling & Major Initiatives team as a part of the broader Auto & Home Analytics department.  The Modeling & Major Initiatives team develops and maintains models used in ratemaking, economic analysis and underwriting.  They also develop best practices and support enhancements to processes supporting major initiatives and the adaptation of models/major initiatives to state specific implementations.  Data Scientists will utilize various statistical modeling techniques to support the creation of models, will educate business partners on the use of these models and will participate in innovative work to continually improve rating plan sophistication (such as the incorporation of telematics data) and decision-making support.  The Auto & Home Analytics Department supports pricing of personal insurance lines of business utilizing accepted actuarial and statistical standards and methodologies. Data Scientists work closely with their Analytics Manager to support business goals.  Support will be provided for those who seek the Certified Specialist in Predictive Analytics (CSPA) credential.
Key Responsibilities:
Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model
Provide tools, educate and support state teams in the implementation of models and other decision-making support
Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals
With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards
Forecasts short-term and long-term deliverables with assistance
Tracks own plan performance and project timeline and communicates and presents project status
Ensures project controls are in place throughout the lifecycle of the project within own tasks
Supports the development/ design of new plans, programs, processes, products up to moderate complexity
Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders
Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements
Contributes to market share growth and profitability by recommending changes to products, pricing, risk management
Understands standard market specific implications of business strategies
Assures proper execution of regulatory/legislative practices for Product Management
Understands and follows internal and external compliance requirements/standards
Trains/coaches team members or peers and actively shares expertise with peers
Job Qualifications
Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economics
Proven insurance business knowledge – for example, understands economics of insurance, familiarity with personal lines ratemaking and rating plans, etc.
Several years of experience working in personal or commercial lines of insurance
Aptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. – some modeling experience is helpful but not required
Standard knowledge in the use of data sources and applications to conduct research
Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.
Working knowledge of insurance regulation and related business constraints
Has an understanding of current industry and professional standards/ environment to impact decisions and indicate requirements
Can analyze data and review analysis from others and identify and resolve basic data issues
Intermediate computer proficiency in Microsoft Office
Possesses working knowledge of policies and procedures in management or other technical fields
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels
High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department
Strong decision-making skills
Works effectively in a team environment
Compensation offered for this role is  and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
#LI-JB1
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Senior Data Scientist

Solv is a leading app that helps you get access to convenient, same-day and next-day healthcare. On Solv you can easily find a nearby care provider, schedule a visit and avoid a long wait. The app is powered by a network of doctors and clinics who run Solv’s software to deliver a modern patient experience for both in-person office visits and virtual visits online. This provider software makes running an on-demand healthcare practice easy–and keeps patients happy. More than 27 million visits and 7 million COVID tests have been booked through Solv. Learn more or book your appointment at SolvHealth.com.

We are looking for a Senior Data scientist to join our Data and Analytics team. In this role, you will be responsible for leveraging data to help drive the growth and success of our healthcare marketplace.  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.

Solv’s Data and Analytics team is focused on helping everyone make better decisions using data. Join a pioneering team that drives business impact from the ground up by identifying growth opportunities and crafting narratives that deepen our understanding of the business.

What you'll do:

Data analysis and story telling: You'll analyze large datasets related to patient behavior, healthcare provider performance, appointment scheduling, patient outcomes, and more. Extract valuable insights to understand drivers of success and identify opportunities for improvement. Craft clear and compelling narratives from data insights to inspire change.
Data visualization and reporting: Create and refine key metrics and visually compelling dashboards to communicate data insights to various stakeholders, including executives, product teams and healthcare providers.
Predictive Modeling: Utilize advanced analytics to forecast patient demand, provider availability, and optimize resource allocation. Help ensure the marketplace can efficiently match patients with available care providers, reducing wait times, and enhancing overall patient experience.
Event Tracking and Experimentation: Help us understand what leads to better user engagement and conversions in our product. Partner with product and developers to design, execute and evaluate A/B tests. Define key questions to answer and requirements for event tracking. Champion accuracy and reliability of event data by conducting quality checks, debugging tracking issues and validating data with business requirements.

You'll be great for this role if you:

have 4+ years of work experience involving quantitative data analysis and complex problem solving
have a degree in Economics, Physics, Statistics, Math, or other quantitative field (advanced degrees are a plus)
are experienced with statistical and machine learning methods to build descriptive and predictive models
are proficient in SQL and at least one programming language for data analysis (e.g. Python, R)

At Solv we celebrate difference. We are committed to ensuring an environment of mutual respect for every employee and proud to be an equal employment opportunity employer who does not discriminate against any person because of race, color, creed, religion, gender, gender identity, gender expression, national origin, citizenship, age, sex, sexual orientation, pregnancy, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. We believe a diverse and inclusive workplace is central to our success and actively seek to recruit, develop and retain the most talented people from a diverse pool of candidates.

While we appreciate candidate submissions, we do not accept submissions from contingency or retained search firms without a pre-existing agreement.