CVS Health is a leading health solutions company dedicated to transforming health care for consumers. The Data Scientist in Retail Analytics will focus on driving improved consumer experience by utilizing data science to optimize pricing decisions and enhance customer satisfaction in CVS's Front Store business.
Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build causal, causal ML, and/or predictive models to understand localized trends, assess the competitive environment, and measure short- and long- term customer impacts to optimize pricing 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
Leverage large datasets, optimize code, 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
Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing 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.
Qualification
Required
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
Hands on experience with version control (GitLab or GitHub), ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.), and familiarity of CI/CD pipelines and MLOps tools (Kubeflow)
Experience working with state-of-the-art Deep Learning, NLP models in a non-academic setting
Excellent communication and presentation skills and attention to detail, and ability to work with multiple stakeholders
Bachelor’s degree in a quantitative field such as computer science, statistics, engineering, or data science
Preferred
3+ years of work experience in retail, consulting, or a related field
Experience developing elasticity models, in depth understanding of retail concepts (price, promotion, assortment)
Experience with managing large scale projects and working with multiple business stakeholders
Designed and implemented end-to-end ML solutions to monitor and improve model performance in production, proficient in model experiment tracking and versioning, set up monitoring systems for data drift
Benefits
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.
