Principal Data Scientist, CVS Health

CVS Health

Location:
United States, New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

144200.00 - 288400.00 USD / Year

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Job Description:

Principal Data Scientist position on the Consumer Engagement & Analytics team at CVS Health, focused on driving improved consumer experience by partnering with key business areas to deliver impactful analytic products and insights. The role involves being at the forefront of delivering high visibility products for key CVS Retail strategic priorities, specifically driving traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing, promotions, and assortment decisions.

Job Responsibility:

Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio
Guide the modeling approach, design and deploy end-to end solutions utilizing Operations Research (OR), econometric modeling, and forecasting
Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards
Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap
Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams
Mandate and champion rigorous performance validation
Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes
Drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing, promotions, and assortment decisions

Requirements:

10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 2 years in a lead capacity
Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production
Strong Python, R, and SQL skills, proficiency in working with large datasets
Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
Excellent communication, leadership, and presentation skills and attention to detail
Worked in an agile environment, has the flexibility to adapt to changing business needs
Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations
Proven experience leading multiple complex projects simultaneously in a fast-paced environment
Advanced degree in a quantitative field such as computer science, operations research, applied mathematics, or a related field (PhD preferred)

Nice to have:

Experience building and deploying advanced price, promotions, or assortment optimization solutions at scale
In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail
Experience with managing large scale projects and working with multiple business stakeholders
Proven record of intellectual property generation or public representation of technical work

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
Wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
November 20, 2025

Expiration:
December 28, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Principal Data Scientist