Senior Data Scientist - Commercial Product Strategy

About the role

The Senior Data Scientist – Commercial Product Strategy will lead the development and scaling of advanced analytics and AI‑powered advisory solutions for Aetna’s Commercial Product organization, turning complex healthcare data into insights that guide product design, pricing, go‑to‑market and performance optimization while partnering with product, sales, actuarial, marketing and underwriting teams.

About the company

CVS Health is a large, integrated health services company that operates pharmacies, retail clinics and the Aetna health insurance brand, focused on creating a more connected, convenient and compassionate health experience for individuals, families and communities.

Requirements

• 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 using Python, R, SQL or equivalent.
• Experience working with large, complex datasets such as healthcare claims or customer behavioral 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 to distill complex analyses into clear strategic recommendations.
• Preferred: experience in healthcare analytics with payer/provider or claims data.
• Preferred: experience developing AI/ML‑driven products or decision‑support tools and familiarity with agentic architecture and deployment.
• Preferred: background in pricing analytics, actuarial partnership or revenue optimization.
• Preferred: experience in product‑centric organizations supporting product lifecycle decisions.
• Preferred: familiarity with experimentation frameworks, causal inference and advanced forecasting techniques.
• Preferred: proven ability to lead or mentor junior data scientists and build high‑performing analytics teams.
• Preferred: experience working in highly matrixed, enterprise environments with executive‑level stakeholder engagement.
• Preferred: 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 required; PhD preferred.