> Markdown version of [/jobs/ext/1830631-principal-data-scientist](https://www.wearedevelopers.com/jobs/ext/1830631-principal-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist - **Company:** CVS Health - **Location:** Wellesley, MA, United States - **Experience:** Expert - **Salary:** $144,200.0 - $288,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Code Generation, Information Engineering, Data Visualization, Decision Support Systems, Healthcare Effectiveness Data and Information Set, Python (Programming Language), Machine Learning, NoSQL, Operational Data Store, Power BI, Cloud Services, Standard Sql, SQL Databases, Tableau (Software), Data Storage Management, Large Language Models, Snowflake, Information Technology, Modeling and Simulation, Software Version Control, Data Pipelines - **Published:** July 8, 2026 - **Apply:** https://dejobs.org/x/x/F7DBC025C7AB49C3B39216119568933A/job/ ## About the Role * Advanced proficiency in Snowflake, Python, SQL, and statistical modeling frameworks * Experience with Snowflake, cloud data platforms, and large-scale analytics pipelines * Familiarity with LLM-enabled analytics and retrieval-augmented generation (RAG) * Strong quantitative and problem-solving abilities * Ability to translate complex data into clear business insights * Expertise in building and validating predictive models Leadership & Communication * Executive-level communication and storytelling skills * Proven ability to influence senior stakeholders * Strong cross-functional collaboration and leadership experience, * 10+ years in data science, analytics, or forecasting roles * Significant experience in Medicare Stars or healthcare quality analytics preferred * Experience leading large-scale forecasting or Stars performance programs * Proven track record of delivering enterprise-scale analytics solutions and business impact, * Certifications: Professional certifications in data science, machine learning, or business analytics can be beneficial. * Experience with CMS Stars regulatory interpretation and analytics * Prior work in Medicare Advantage or healthcare quality organizations Education * Education: A bachelor's degree in a related field such as Statistics, Mathematics, Data Science, Economics, Computer Science, or related field. Advanced degrees (Master's or Ph.D.) in these fields are highly desirable. ## Description This role is a senior individual contributor and thought leader responsible for defining and scaling the next generation of Stars forecasting, cutpoint analytics, and performance modeling . The individual will lead development of predictive models, statistical frameworks, and AI-enabled analytics solutions to inform strategic decision-making across Medicare Stars domains. This position will own end-to-end analytic strategy -from data engineering and model design to executive insights and business impact-and will serve as a key partner to leadership across Product, Clinical, Quality, and Data organizations., Strategic Leadership & Analytics * Lead the design and execution of enterprise-level Medicare Stars forecasting models , including multi-year projections (e.g., 2027-2029 stars scenarios). * Define scientific frameworks for Stars cutpoint derivation , incorporating CMS methodology, guardrails, and national distribution analysis. * Partner with senior leadership to translate forecast insights into actionable business strategies and risk mitigation plans. * Provide thought leadership in Stars performance analytics , influencing roadmap, prioritization, and investments. * Advanced Modeling & Forecasting: Develop and maintain end-to-end forecasting models across domains: CAHPS, HEDIS, HOS, Patient Safety / Pharmacy measures * Build year-end projections based on historical trends, seasonality, and industry benchmarks . * Perform sensitivity analysis and scenario modeling (Low/Mid/High models) to quantify risk and opportunity. * Design predictive models leveraging statistical methods, machine learning, and time-series forecasting. * Translate regulatory changes into model enhancements and impact assessments. * Lead efforts to interpret and operationalize CMS technical guidance (e.g., disaster adjustments, guardrails, cutpoint methodology). * Experience in building year-end forecasts using historical trends and industry benchmarks Data, Technology Leadership & Technical Skills * Architect and implement scalable analytics solutions using: * Snowflake (Snowpark, data pipelines, governance) * Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG architectures) * Build integrated data ecosystems combining: * Structured clinical and operational data * Survey and experience data (CAHPS/HOS) * External industry benchmarks * Data Visualization: Ability to create compelling visualizations using tools like Tableau, Power BI, and Snowflake and any other BI tools * Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. * Strong expertise in: Time-series forecasting, Machine learning & predictive modeling and Statistical inference and simulation modeling * Database Management: Knowledge of SQL and NoSQL databases for efficient data storage and retrieval. * Enable self-service analytics and executive dashboards for real-time decision support. * Provide technical leadership and mentorship to data scientists and analysts. * Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation-using External Functions, Snowpark, and/or secure API patterns. * Establish best practices for modeling, validation, documentation, and version control. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)