Senior Data Scientist - Commercial Product Strategy

CVS Health is seeking a Senior Data Scientist to support Aetna’s Commercial Product organization. In this onsite role in Wellesley, MA, you will turn complex healthcare data into practical, decision-ready insights that help shape CVS Health’s commercial product strategy. The work includes building and scaling advanced analytics solutions, including AI-powered business advisory capabilities, designed to deliver measurable outcomes across a 15M+ membership base.

What you’ll do

• Convert complex healthcare data into actionable insights tied to measurable business outcomes.
• Develop and scale advanced analytics, including AI-powered business advisory capabilities, to identify trends, generate insights, and support smarter decisions across 15M+ lives.
• Collaborate with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization.
• Translate analytics into growth opportunities and financial results that support commercial decision-making.

What you bring

• 5+ years of experience in data science, advanced analytics, or analytics consulting ( 7+ years preferred ).
• A proven ability to translate complex data into actionable business insights and measurable outcomes.
• Strong proficiency in statistical modeling, machine learning, and data analysis using Python, R, SQL (or equivalent).
• Experience working with large, complex datasets such as healthcare claims, customer behavioral data, or similarly structured information.
• Demonstrated ability to influence senior stakeholders and drive cross-functional alignment.
• Experience supporting commercial decisions including pricing, product strategy, or go-to-market optimization.
• Strong problem-solving skills with a focus on high-ROI opportunities.
• Excellent communication skills, including the ability to distill complex analysis into clear, strategic recommendations.

Technical skills

• Python
• R
• SQL

Education

Master’s degree (MS) or MBA in a quantitative or business-related field.

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, such as recommendation engines, insight platforms, or business advisor tools; familiarity with agentic architecture and deployment.
• Background in pricing analytics, actuarial partnership, or revenue optimization strategies.
• Experience supporting product-centric organizations across product lifecycle decisions (inception through optimization).
• Familiarity with experimentation frameworks, causal inference, and advanced forecasting techniques.
• Track record leading or mentoring junior data scientists and contributing to building high-performing analytics teams.
• Experience 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.

Compensation and schedule

Pay range: USD $111,240 - $222,480 per year.

Bonus/incentives: Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range listed above.

Anticipated weekly hours: 40

Time type: Full time

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources (based on eligibility)