CH
Cvs Health
Data Scientist

Senior Data Scientist (Medicare Sales Strategy)

On-siteSeniorData Scientistposted 4d ago
✦Role summaryAI-generated

The Senior Data Scientist will design and maintain predictive models and data pipelines to forecast Medicare enrollment and evaluate sales channel performance. They will collaborate with the Medicare sales organization to drive agent and broker productivity and support strategic decision‑making.

Skills required

About this role

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 Senior Data Scientist to support our Medicare sales organization.


You will own the data models, pipelines, and analytical frameworks that drive sales strategy, agent/broker performance, and enrollment growth across Medicare Advantage and Part D markets.


Responsibilities

  • Build and maintain sales performance models tracking agent, broker, and channel productivity
  • Develop predictive models for Medicare enrollment forecasting, lead scoring, and market penetration
  • Analyze sales funnel data to identify conversion opportunities and retention risks
  • Design and manage sales reporting infrastructure (dashboards, KPIs, scorecards)
  • Support territory planning and market segmentation using CMS enrollment and demographic data
  • Partner with Sales, Marketing, and Finance to translate data into actionable growth strategies
  • Manage and govern sales data assets — ensuring accuracy, consistency, and accessibility
  • Mentor junior analysts and establish data standards for the sales org

Required Qualifications

3+ years in data science or advanced analytics including:

  • 2+ years supporting Medicare, Medicare Advantage, or Part D markets
  • Strong SQL skills and proficiency in Python or R for modeling and automation
  • Experience with CMS public data (enrollment files, landscape files, plan finder data)

Preferred Qualifications

  • Familiarity with lead generation, direct mail, telesales, or digital acquisition analytics
  • Experience building propensity-to-enroll or churn models for Medicare-eligible populations
  • Master's in Statistics, Data Science, Business Analytics, or related field

Education

Bachelors or equivalent experience

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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.

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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 11/30/2026

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

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