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Principal Data Scientist (Medicare Sales Strategy)

CVS Health

Chicago, ILFull-time$144–288K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$144–288K/yr
Location
Chicago, IL
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

CVS Health is seeking a Principal Data Scientist to set the vision and enterprise-wide analytical strategy for Medicare sales. The role operates across data science, business strategy, and organizational leadership, shaping technical direction and executive decisions. It leads advanced modeling adoption, establishes standards for governance and ethical AI, and mentors senior data scientists while representing the organization externally.

Skills & qualifications

RequiredNice to have

Skills

Medicare Sales Data ScienceEnterprise Analytics ProgramsSQLPython/RMachine Learning FrameworksMLOpsCloud PlatformsExecutive CommunicationEnterprise Data PlatformsAnalytical EcosystemsCMS Regulatory LandscapeCausal InferenceExperimental DesignEconometric ModelingData Science Practice BuildingFederated Data ModelsData Mesh ArchitecturesEnterprise Data Strategy

Qualifications

7+ Years Data Science Experience5+ Years Lead-Level Experience3+ Years Medicare Domain Expertise12+ Years Advanced Analytics Experience5+ Years Medicare Domain ExpertiseMaster's or PhD in Quantitative FieldBachelor's Degree or Equivalent

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
401(k) Match

Full job description

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 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

Required Qualifications

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

Preferred Qualifications

  • 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

Education

Bachelors degree or equivalent

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 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 (https://learn.bswift.com/cvshealth-mainland) .

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.

CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran — committed to diversity in the workplace.

How this job compares

Set against the 1,937 open Data Science jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$144–288K/yr
  • Illinois median$156–239K/yr54 salary ranges
  • US median$138–246K/yr1,434 salary ranges

This range's midpoint, $216K, is 8% above the Illinois median midpoint ($201K) — in the middle half of Data Science salary ranges in Illinois.

Openings
Olive Jobs lists 64 open Data Science jobs in Illinois and 1,937 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
This posting asks for at least 7 years of experience; Data Science postings that state a minimum ask for 6 years at the median (1,563 postings).
Education
943 of the 1,937 open Data Science jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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