CVS Health Logo

CVS Health

Senior Data Scientist - Commercial Product Strategy

Posted One Month Ago
In-Office
New York, NY
111K-222K Annually
Senior level
In-Office
New York, NY
111K-222K Annually
Senior level
Develops advanced analytics and AI-driven solutions for CVS Health’s commercial product strategy. Translates healthcare and customer data into insights supporting product design, pricing, go-to-market execution, and performance optimization. Partners with Product, Sales, Actuarial, Marketing, and Underwriting leaders to identify high-value opportunities and deliver measurable financial outcomes. The role also involves stakeholder influence, experimentation, forecasting, product lifecycle support, and mentoring junior data scientists.
The summary above was generated by AI

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: 11/29/2026

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

Similar Jobs

Yesterday
In-Office or Remote
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Healthtech • Telehealth
Leads and develops a data engineering team responsible for Snowflake, dbt, Python services on AWS, Airflow orchestration, integrations, reliability, and CI/CD. Owns technical strategy, platform administration, access controls, cost management, incident response, engineering standards, delivery, and team development. Partners with product, analytics engineering, DevOps, and business stakeholders to build scalable, reliable data systems.
Top Skills: Amazon EcsApache AirflowAWSAws LambdaCi/CdDbtFivetranPythonSnowflakeSQLTerraform
Yesterday
Hybrid
80K-100K Annually
Junior
80K-100K Annually
Junior
AdTech • Big Data • Digital Media • Software
Build and maintain automation systems, backend services, and lightweight internal web applications. Analyze cross-functional workflows, identify automation opportunities, and implement scalable solutions. Collaborate with engineering, product, operations, and sales teams while using AI-assisted development tools and LLM integrations. Participate in code reviews and continuous improvement while developing software engineering fundamentals.
Top Skills: AirflowAWSCursorDockerJavaJavaScriptModel Context ProtocolNext.JsNode.jsOpenaiPostgresPythonReactTypescript
Yesterday
Remote or Hybrid
United States
69K-114K Annually
Entry level
69K-114K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.
Top Skills: HubspotExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft SharepointMicrosoft TeamsMicrosoft WordSalesforce

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account