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Lead Data Scientist; Medicare Sales Strategy

Job in Richardson, Dallas County, Texas, 75080, USA
Listing for: CVS Health
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 118000 - 284000 USD Yearly USD 118000.00 284000.00 YEAR
Job Description & How to Apply Below
Position: Lead Data Scientist (Medicare Sales Strategy)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

We are seeking a Lead Data Scientist to own the analytical strategy and data science roadmap for our Medicare sales organization.

You will set technical direction, lead a team of data scientists and analysts, and serve as the primary thought partner to sales leadership on data-driven growth initiatives across Medicare Advantage and Part D markets.

Responsibilities
  • Define and drive the data science strategy supporting Medicare sales, distribution, and enrollment growth

  • Lead a team of data scientists and analysts — setting priorities, reviewing work, and developing talent

  • Architect and oversee end-to-end modeling pipelines: lead scoring, enrollment forecasting, agent performance, and retention risk

  • Own the sales data ecosystem — governance, quality standards, and integration across CRM, CMS, and internal platforms

  • Translate ambiguous business questions from Sales, Marketing, and Finance leadership into structured analytical programs

  • Establish best practices for model development, validation, deployment, and monitoring across the team

  • Present findings and recommendations directly to VP/C-suite stakeholders; influence strategic decisions with data

  • Partner with Engineering and IT to product ionize models and embed insights into sales workflows and tools

  • Represent the data science function in cross-functional planning, budgeting, and roadmap discussions

Required Qualifications

5+ years in data science or advanced analytics, with 3+ years in a lead, staff, or principal capacity including:

  • 3+ years supporting Medicare, Medicare Advantage, or Part D sales or distribution organizations

  • Proven track record leading and mentoring a team of data scientists or analysts

  • Expert-level SQL; advanced proficiency in Python or R for modeling, automation, and pipeline development

  • Deep experience with CMS data assets (enrollment files, landscape files, MCMG-regulated data)

  • Experience integrating CRM (Salesforce or similar), broker/FMO data, and BI platforms (Power BI, Tableau, Looker)

  • Strong communication skills — able to translate complex models into executive-level narratives

Preferred Qualifications
  • 8+ years of experience in Data Science or advanced Analytics

  • Experience with MLOps practices: model versioning, monitoring, drift detection, and retraining workflows

  • Background in territory optimization, GIS analysis, or market sizing for Medicare-eligible populations

  • Master's or PhD in Statistics, Data Science, Computer Science, or related field (or equivalent experience)

Education

Bachelors or equivalent experience

Pay Range

The typical pay range for this role is:

$ - $

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…
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