Senior Data Scientist - Medicare Sales Growth & Strategy

CVS Health; Chicago (IL); On-site; USD 118,000 - 284,000; Full time

Job summary

CVS Health is seeking a Lead Data Scientist to own the analytical strategy for our Medicare sales organization. You will guide a team of data scientists and analysts, translating business questions into scalable analytical programs and production-ready models.

You will partner with Sales, Marketing, and Finance to influence strategic growth initiatives across Medicare Advantage and Part D markets, while ensuring governance and quality across the data ecosystem.

Qualifications

• 5+ years in data science/analytics with leadership experience.
• 3+ years supporting Medicare sales/distribution.
• Proven track record mentoring data teams.
• Expert SQL; Python or R for modeling and pipelines.
• Experience with CMS data assets and BI platforms.

Responsibilities

• Define and drive data science strategy for Medicare sales growth.
• Lead a team of data scientists and analysts; set priorities.
• Architect end-to-end modeling pipelines: scoring, forecasting, retention.
• Own data ecosystem governance and integration across platforms.
• Translate business questions into analytical programs.
• Present findings to VP/C-suite; influence decisions.
• Partner with Eng/IT to productionize models for sales use.
• Represent DS in planning, budgeting, and roadmaps.

Skills

Leadership

SQL expert

Python or R modeling

CMS data assets

CRM integration

Executive storytelling

Mentoring team

Education

Bachelor's degree

Master's or PhD in Statistics/DS/CS

Tools

Salesforce CRM

Power BI

Tableau

Looker

Python

R

SQL

Job description

CVS Health is seeking a Lead Data Scientist to own the analytical strategy for our Medicare sales organization. You will guide a team of data scientists and analysts, translating business questions into scalable analytical programs and production-ready models.

You will partner with Sales, Marketing, and Finance to influence strategic growth initiatives across Medicare Advantage and Part D markets, while ensuring governance and quality across the data ecosystem.