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Data Scientist – Retail Analytics

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States , Wellesley

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

86520.00 - 173040.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 1+ years of work experience in retail, consulting, or a related field
  • Strong programming skills in Python and SQL
  • Proficiency in working with large datasets and distributed computing frameworks
  • Hands-on experience with version control (GitLab/GitHub), ML platforms (AWS SageMaker, Databricks, GCP Vertex AI), and familiarity with CI/CD pipelines and MLOps tools (Kubeflow)
  • Experience with econometric modeling techniques (e.g., price elasticity, promotional lift, cross-effects, hierarchical models)
  • Experience working with state-of-the-art Deep Learning and NLP models in a non-academic setting
  • Excellent communication and presentation skills, attention to detail, and ability to work with multiple stakeholders

Nice to have:

  • 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
  • Master's degree in Econometrics, Applied Statistics, or Data Science
What we offer:
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs

Additional Information:

Job Posted:
May 15, 2026

Expiration:
May 31, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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