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. Position Summary The Senior Data Scientist will play a critical role in advancing CVS Health’s commercial product strategy by transforming complex healthcare data into actionable insights that drive measurable business outcomes. Supporting Aetna’s Commercial Product organization, this role will focus on developing and scaling advanced analytics solutions—including AI-powered business advisory capabilities—that uncover trends, generate insights, and enable smarter decision-making across a membership base of 15M lives. This individual will operate at the intersection of data science, product strategy, and business leadership, partnering closely with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization. The ideal candidate combines strong technical expertise with business acumen and a proven ability to translate analytics into high-impact growth opportunities and financial results. Required Qualifications 5 years of experience in data science, advanced analytics, or analytics consulting (7 years preferred) Proven track record of translating complex data into actionable business insights and measurable outcomes Strong proficiency in statistical modeling, machine learning, and data analysis (Python, R, SQL or equivalent) Experience working with large, complex datasets (e.g., healthcare claims, customer behavioral data, or similarly structured data) Demonstrated ability to influence senior stakeholders and drive cross-functional alignment Experience supporting commercial decision-making such as pricing, product strategy, or go-to-market optimization Strong problem-solving skills with a focus on identifying high-ROI opportunities Excellent communication skills, with the ability to distill complex analyses into clear, strategic recommendations Preferred Qualifications Experience in healthcare analytics, particularly with payer/provider data, claims, or population health Experience developing AI/ML-driven products or decision-support tools (e.g., recommendation engines, insight platforms, business advisor tools), familiarity with agentic architecture and deployment Background in pricing analytics, actuarial partnership, or revenue optimization strategies Experience working in product-centric organizations or supporting product lifecycle decisions (inception through optimization) Familiarity with experimentation frameworks, causal inference, and advanced forecasting techniques Proven ability to lead or mentor junior data scientists and contribute to building high-performing analytics teams Experience working in highly matrixed, enterprise environments with executive-level stakeholder engagement Strong orientation toward value creation, financial impact, and client-centric outcomes Education Master’s degree (MS) or MBA in a quantitative or business-related field (e.g., Data Science, Statistics, Economics, Engineering, Operations Research, or similar) required PhD preferred in a related discipline Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $111,240.00 - $222,480.00 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: 10/25/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Requirements

Must-haves

Proven track record of translating complex data into actionable business insights and measurable outcomes
Strong proficiency in statistical modeling, machine learning, and data analysis (Python, R, SQL or equivalent)
Experience working with large, complex datasets (e.g., healthcare claims, customer behavioral data, or similarly structured data)
Demonstrated ability to influence senior stakeholders and drive cross-functional alignment
Experience supporting commercial decision-making such as pricing, product strategy, or go-to-market optimization
Strong problem-solving skills with a focus on identifying high-ROI opportunities
Excellent communication skills, with the ability to distill complex analyses into clear, strategic recommendations
Master’s degree (MS) or MBA in a quantitative or business-related field (e.g., Data Science, Statistics, Economics, Engineering, Operations Research, or similar) required

Nice-to-haves

5 years of experience in data science, advanced analytics, or analytics consulting (7 years preferred)
Experience in healthcare analytics, particularly with payer/provider data, claims, or population health
Experience developing AI/ML-driven products or decision-support tools (e.g., recommendation engines, insight platforms, business advisor tools), familiarity with agentic architecture and deployment
Background in pricing analytics, actuarial partnership, or revenue optimization strategies
Experience working in product-centric organizations or supporting product lifecycle decisions (inception through optimization)
Familiarity with experimentation frameworks, causal inference, and advanced forecasting techniques
Proven ability to lead or mentor junior data scientists and contribute to building high-performing analytics teams
Experience working in highly matrixed, enterprise environments with executive-level stakeholder engagement
Strong orientation toward value creation, financial impact, and client-centric outcomes
PhD preferred in a related discipline
Anticipated Weekly Hours
$111,240.00 - $222,480.00

Application prep

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Keywords to mirror

aigomachine learningpythonsqlml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness