# Senior Data Scientist

**Company**: CVS Health
**Experience**: senior
**Job type**: full-time
**Salary**: $111,240.00 - $222,480.00
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NY---New-York/Senior-Data-Scientist---Commercial-Product-Strategy_R1068111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f9e8e59e-8b1

## Description

We're building a world of health around every individual , shaping a more connected, convenient, and compassionate health experience.

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.

**Responsibilities**

- Develop and scale advanced analytics solutions, including AI-powered business advisory capabilities

- Uncover trends, generate insights, and enable smarter decision-making across a membership base of 15M+ lives

- Partner with Product, Sales, Actuarial, Marketing, and Underwriting teams to inform product design, pricing strategy, go-to-market execution, and performance optimization

- Translate analytics into high-impact growth opportunities and financial results

**Requirements**

- 5+ years of experience in data science, advanced analytics, or analytics consulting

- 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

- Demonstrated ability to influence senior stakeholders and drive cross-functional alignment

- 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

- Background in pricing analytics, actuarial partnership, or revenue optimization strategies

- Experience working in product-centric organizations or supporting product lifecycle decisions

- Familiarity with experimentation frameworks, causal inference, and advanced forecasting techniques

**Education**

- Master's degree (MS) or MBA in a quantitative or business-related field required

- PhD preferred in a related discipline

**Benefits**

- Comprehensive benefits package, including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources

## Skills

### Required
- data science
- advanced analytics
- statistical modeling
- machine learning
- data analysis
- Python
- R
- SQL

### Nice to have
- healthcare analytics
- AI/ML-driven products
- pricing analytics
- actuarial partnership
- revenue optimization strategies
- experimentation frameworks
- causal inference
- advanced forecasting techniques

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Source: [Apply at cvshealth.wd1.myworkdayjobs.com](https://cvshealth.wd1.myworkdayjobs.com/en-US/CVS_Health_Careers/job/NY---New-York/Senior-Data-Scientist---Commercial-Product-Strategy_R1068111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)