CVS Health is a health solutions company that provides integrated healthcare services to its members. The Data Scientist - Assortment Optimization will solve complex problems and build predictive models to optimize product assortment decisions, enhancing customer experience and driving revenue in CVS Health’s Front Store business.
Solve complex problems using operations research, dynamic programming, and reinforcement learning, build and improve optimization models to optimize assortment decisions
Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience
Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio, develop robust methodologies to assess model performance
Stay up to date on the state-of-the-art modeling methodologies and latest research
Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of current models
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
Qualification
Required
Bachelor’s degree in a quantitative field such as Operations Research/Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field
Strong Python and SQL skills, proficiency in working with large datasets
Familiarity with mathematical optimization models using open-source or commercial optimization solvers (such as Pyomo, Gurobi, Pulp, ILOG CPLEX)
Experience working with a data engineering/MLOps team to deploy data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.)
Excellent communication and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs
Ability to communicate technical concepts to non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.)
Preferred
Master’s degree in a quantitative field
2+ years of work experience in retail, consulting, or a related field
Experience solving pricing, promotions, assortment, or supply chain problems
Experience developing price optimization models, in depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail
Experience managing large scale projects and working with multiple business stakeholders
Benefit
Affordable medical plan options
401(k) plan (including matching company contributions)
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
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
