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As a Senior Data Scientist at CVS Health, you will drive traffic, revenue, and customer satisfaction using data science to optimize pricing decisions. You will work on innovative analytic products and insights while collaborating with stakeholders across the organization.
Job Responsibility:
Solve complex problems using operations research, dynamic programming, and reinforcement learning
Translate business requirements into testable hypotheses and measurable metrics
Build optimization models from the ground up to optimize pricing decisions
Develop and leverage in-depth knowledge of Retail Merchandising business processes
Simulate impact of business decisions to improve customer experience
Guide the technical approach
Leverage large datasets
Build scalable and deployment ready models
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 generative models (LLMs and other AI models) to improve and enrich performance of pricing models
Work cross functionally with technical and non-technical stakeholders
Share progress, findings, and recommendations
Present insightful materials to senior leadership.
Requirements:
Bachelor’s degree in a quantitative field such as Operations Research/Industrial Engineering, Applied Mathematics, Computer Science, Engineering or a related field
3+ years of work experience in retail, consulting, or a related field
Hands on experience solving pricing, promotions, assortment, or supply chain problems by building 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 productionize 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
Worked in an agile environment
Ability to communicate technical concepts to non-technical audiences.
Nice to have:
PhD in Operations Research, Management Science or equivalent
5+ years of work experience in retail, consulting, or a related field
Experience developing price optimization models
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.
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