Role overview
- Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, and build causal inference, econometric, and predictive models to understand localized trends, assess competitive environments, and measure short- and long-term customer impacts to optimize pricing and promotion decisions.
- Develop and leverage in-depth knowledge of Retail Merchandising and Pricing processes, translate key drivers of business value into analytics opportunities, and simulate the impact of pricing and promotional decisions to improve customer experience.
- Work with large datasets, optimize code, and build scalable, deployment-ready models that work well with CVS Retail’s diverse product portfolio.
- Develop robust methodologies and metrics to assess model performance and ensure statistical validity.
- Stay up to date on state-of-the-art modeling methodologies, econometric techniques, and latest research in pricing and promotional analytics.
- Utilize the latest developments in generative AI (LLMs and other models) to enhance pricing models, rethink deployment readiness and scalability, and explore automation opportunities using AI agents.
- Collaborate cross-functionally with technical and non-technical stakeholders, including business partners, engineers, and analytics teams. Present insights-driven materials with recommendations and go-forward plans to guide internal stakeholders and senior leadership.
What we're looking for
- 3+ years of work experience in retail, consulting, or a related field.
- Strong background in pricing and promotion analytics, including elasticity modeling, cannibalization analysis, and competitive price simulation.
- Experience with causal inference methods (e.g., difference-in-differences, synthetic controls, propensity score matching).
- Familiarity with Bayesian hierarchical modeling and advanced time-series forecasting for retail demand.
- Experience managing large-scale projects and working with multiple business stakeholders.
- Designed and implemented end-to-end ML solutions, including monitoring and improving model performance in production, experiment tracking, and setting up data drift monitoring systems.
We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Data Science Ai