Lead Data Scientist, CVS Health

CVS Health

Location:
United States, Wellesley

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

130295.00 - 284280.00 USD / Year

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Job Description:

As a member of the Price and Promotion Analytics team, this role focuses on driving traffic, revenue, and customer satisfaction using data science to optimize pricing and promotions decisions. It involves developing and deploying scalable models, leveraging advanced econometric methods, and collaborating with various stakeholders to deliver insights and recommendations for CVS Retail’s strategic priorities.

Job Responsibility:

Lead the application of advanced econometric methods to understand localized trends, assess the competitive environment, and measure short and long-term customer impacts to optimize pricing and promotions decisions
Solve complex problems, translate business requirements into testable hypotheses and measurable metrics
Guide the modeling approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies and metrics to assess model performance
Stay up to date on the state-of-the-art modeling methodologies and latest research
Develop Jr talent, conduct code reviews, and drive the methodological expertise within the Price and Promotions Econometrics team
Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents
Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams
Share progress, findings, recommendations, and their business implications
Present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership

Requirements:

Advanced degree in a quantitative field such as economics, statistics, or a related field
PhD in economics preferred
7+ years of work experience in retail, consulting, or a related field as an economist, data scientist, or similar role with at least 2 years in a lead capacity
Strong foundation, and demonstrated experience applying statistical models and/or causal inference techniques (such as Hierarchical GLM, Double ML, synthetic control, and other quasi experimental techniques)
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 leading multiple complex projects simultaneously in a fast-paced environment

Nice to have:

Experience measuring the impact of price and promotion strategies and competitive price positions on customer purchase behavior
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

What we offer:

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost wellness programs including 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:
August 27, 2025

Expiration:
September 28, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Data Scientist