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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a highly collaborative, creative, and pragmatic Principal Data Scientist & Innovation Lead to help us push the boundaries of how data science can drive Medicare Stars clinical outcomes. This role is ideal for an experienced Data Scientist with a deep understanding of Medicare Stars, an exceptional ability to foster trusted relationships, and a strong track record of delivering innovative solutions in complex environments — all while building alignment and avoiding organizational friction.

You will lead a small, agile team of contractors focused on rapid development and productionalization of advanced analytics and data science solutions. Success in this role requires a balance of technical excellence, business acumen, leadership finesse, and a true “people-first” mindset.

Required Qualifications

+ 10+ years of experience in data science, advanced analytics, and solution delivery

+ 5 years in Medicare and Medicare Stars-related work

+ **Programming** : Expert-level proficiency in **Python** / **SAS** for scalable healthcare data analysis and modeling.

+ **Advanced Machine Learning & Predictive Modeling:** Extensive experience designing and deploying supervised learning models (e.g., **gradient boosting** , **logistic regression** , **random forests** ) with strong grasp of evaluation metrics such as AUC, F1 score, and calibration.

+ **SQL & Big Data Technologies:** Advanced SQL expertise for complex healthcare data transformation; experience with **Databricks** / **Snowflake** to process large-scale structured and semi-structured datasets.

+ **Cloud Platforms (Azure/GCP):** Proficiency in **Microsoft Azure** / **Google Cloud Platform (GCP)** for building, deploying, and managing scalable AI and data science solutions.

+ **Generative AI & Large Language Models (LLMs):** Production-level experience with **GPT-4, Claude, Mistral, etc** for healthcare applications such as summarization, Q&A, and automation

+ **Prompt Engineering & RAG Pipelines** : Strong capability in building AI Agents and GenAI applications using **prompt design, retrieval-augmented generation, and LLM chaining strategies**

Preferred Qualifications

+ Lead Innovation & Delivery: Lead a cross-functional innovation pod to rapidly design, develop, and deploy creative, practical data science solutions that drive measurable improvements in Medicare Stars performance.

+ Foster Collaboration & Alignment: Build trusted relationships with clinical strategy, business, and technology stakeholders. Create an environment of transparency, trust, and shared ownership to move innovation efforts forward effectively and diplomatically.

+ Drive Results Without Friction: Consistently deliver high-quality, high-impact solutions while navigating a complex and regulated Medicare Stars environment — without creating tension or misalignment.

+ Mentor & Lead Small Team: Provide leadership, coaching, and day-to-day guidance to a small team, helping them prioritize effectively and deliver results.

+ Communicate with Clarity & Influence: Translate technical concepts into actionable business insights for leadership and partners. Help drive strategy by bringing a unique voice to discussions on Medicare Stars performance and innovation opportunities.

+ Champion Creativity & Pragmatism: Introduce novel methods, tools, and approaches while staying grounded in the practical realities of production delivery and regulatory compliance.

+ Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field

Education

+ Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 07/22/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.