Senior Data Scientist

Posted 2 Days Ago
13 Locations
In-Office or Remote
83K-204K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Leads analytical and technical execution for member onboarding and customer experience portfolios. Develops advanced analytics, predictive models, causal inference, experimentation, AI/ML, and LLM solutions using Python and SQL. Owns solution design, measurement, testing, and performance evaluation while partnering with cross-functional stakeholders. Mentors data scientists, communicates trade-offs, and applies analytical rigor to improve engagement, satisfaction, retention, and healthcare experiences.
Summary Generated by Built In

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.

Position Summary

We are seeking a Senior Data Scientist for a Data Science Captain role to own the analytical and technical execution of two highly visible, high‑impact portfolios: 

  • Member Onboarding 
  • Customer Experience (CX) improvement

Member onboarding is one of the most critical moments in the member lifecycle, shaping first impressions, driving early engagement, and acting as a powerful predictor of long‑term retention and loyalty. Because onboarding touches every member, improvements in this space have enterprise‑wide impact, directly influencing satisfaction, digital adoption, service utilization, and member retention.

In parallel, this role owns Customer Experience analytics for the Commercial line of business, focusing on reducing friction, improving satisfaction, and strengthening ongoing member relationships. Together, these portfolios enable CVS Health to retain members by delivering consistently better experiences from day one and beyond.

As the Data Science Captain, this individual owns how onboarding and CX solutions are designed, built, and measured, partnering closely with the Squad Lead and cross‑functional stakeholders. The role requires strong technical leadership, an entrepreneurial mindset, and the ability to mentor other data scientists while operating effectively in a matrixed environment.

The ideal candidate brings deep expertise in advanced analytics, experimentation, causal inference, and AI/ML (including LLMs), along with strong communication and stakeholder engagement skills. They are comfortable navigating ambiguity, surfacing solution options and trade‑offs, and ensuring analytical rigor while keeping retention and experience outcomes front and center.

Required Qualifications

  • 3+ years of experience in advanced analytics, decision science, applied AI/ML.
  • 3+ years of experience in one or more areas of advanced modeling: predictive analytics, reinforcement learning, NLP, LLM, or causal inference.
  • 3+ years programming skills in Python and SQL, with a focus on managing large and complex analytical projects from data exploration, model building, performance evaluation and testing.

Preferred Qualifications

  • Proven records of applying analytical rigor and statistical methods to analyze large amounts of data, using causal inference and other advanced statistical techniques.
  • Familiarity with BI tools (Tableau) and analytics engineering (GCP or other modern data platforms).
  • 3+ years of experience designing and deploying data science solutions in member or customer experience environments, with a focus on engagement, satisfaction, or retention.
  • 3+ years of experience in the healthcare industry, with a strong interest in improving outcomes through intelligent decision systems.
  • Hands‑on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, AutoGen, CrewAI, RAG).

Education

  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred. 

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $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: 09/15/2026

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

Skills Required

  • 3+ years of experience in advanced analytics, decision science, or applied AI/ML
  • 3+ years of experience in predictive analytics, reinforcement learning, NLP, LLMs, or causal inference
  • 3+ years of programming experience with Python and SQL
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or a related discipline
  • Experience applying analytical rigor and statistical methods to large datasets using causal inference and advanced statistical techniques
  • Familiarity with Tableau and analytics engineering using GCP or other modern data platforms
  • 3+ years of experience designing and deploying data science solutions in member or customer experience environments
  • 3+ years of healthcare industry experience
  • Hands-on experience with LLMs, generative AI, or conversational AI frameworks such as LangChain, AutoGen, CrewAI, or RAG
  • Master's degree

CVS Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.

  • Healthcare Strength Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
  • Retirement Support A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.

CVS Health Insights

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The Company
HQ: Woonsocket, RI
119,959 Employees
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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