> Markdown version of [/jobs/ext/4029682-principal-data-scientist-medicare-sales-strategy](https://www.wearedevelopers.com/jobs/ext/4029682-principal-data-scientist-medicare-sales-strategy). 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 (Medicare Sales Strategy)

- **Company:** CVS Health
- **Location:** Woonsocket, RI, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $144,200.0 - $288,400.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Enterprise Data Management, Data Strategy, Information Technology, Machine Learning Operations
- **Published:** October 30, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbhc51dyz

## About the Role

7+ years in data science or advanced analytics, with 5+ years at a lead, staff, or principal level including:

 * 3+ years of deep domain expertise in Medicare, Medicare Advantage, or Part D - across sales, distribution, or market strategy
 * Demonstrated ability to define and deliver enterprise-scale analytical programs with measurable business impact
 * Recognized internal and/or external thought leader in health insurance analytics or Medicare data science
 * Expert-level proficiency across the full data science stack: SQL, Python/R, ML frameworks, MLOps, and cloud platforms
 * Exceptional executive communication skills - able to shape strategy conversations and drive alignment at the SVP/C-suite level, * 12+ years of experience in advanced analytics or appied Data science
 * 5+ years of deep domain expertise in Medicare, Medicare Advantage, or Part D - across sales, distribution, or market strategy
 * Master's or PhD in Statistics, Data Science, Computer Science, or related quantitative field strongly preferred
 * Experience architecting enterprise data platforms or analytical ecosystems at a Medicare health plan, FMO, or large distributor
 * Deep familiarity with CMS regulatory landscape: MCMG, risk adjustment, Star Ratings, and audit frameworks
 * Background in causal inference, experimental design (A/B testing at scale), or econometric modeling applied to sales
 * Track record of building and scaling data science practices - hiring, tooling, governance, and culture
 * Experience with federated data models, data mesh architectures, or enterprise data strategy, Bachelors degree or equivalent

## Description

We are seeking a Principal Data Scientist to serve as the highest-level individual contributor driving data science vision and enterprise-wide analytical strategy for our Medicare sales organization.

You will operate at the intersection of data science, business strategy, and organizational leadership - setting multi-year technical direction, shaping how the enterprise uses data to compete in Medicare markets, and influencing decisions at the executive level.

Responsibilities

 * Define the multi-year data science vision and roadmap for Medicare sales analytics across the enterprise
 * Serve as the internal authority and subject matter expert on Medicare sales data science - consulted on the highest-complexity, highest-impact problems
 * Drive organization-wide adoption of advanced modeling capabilities: propensity modeling, causal inference, market simulation, and ML-driven sales optimization
 * Identify white space opportunities where data science can create competitive advantage in Medicare distribution, enrollment, and retention
 * Establish enterprise standards for model governance, data quality, ethical AI use, and regulatory compliance across all sales analytics teams
 * Lead cross-functional initiatives spanning Sales, Marketing, Actuarial, Finance, and Technology
 * Evaluate and introduce emerging tools, methodologies, and external data sources to advance organizational capability
 * Mentor and elevate Lead and Senior Data Scientists; serve as a technical career sponsor across the broader data community
 * Represent the organization externally - industry conferences, CMS working groups, vendor partnerships, and thought leadership