Principal Data Scientist – Price and Promotions Data Science

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights.  As a member of the Price, Value and Assortment Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health’s Front Store business using data science to optimize pricing, promotions, and assortment decisions.

In this role, you will have the opportunity to:

• Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail’s diverse product portfolio. Guide the modeling approach, design and deploy end-to end solutions utilizing Operations Research (OR), econometric modeling, and forecasting along with the functional team leads,
• Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards,
• Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap,
• Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams,
• Mandate and champion rigorous performance validation,
• Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes.

We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches. This role may involve managing and mentoring team members.

Required Qualifications

• 10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 2 years in a lead capacity,
• Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production,
• Strong Python, R, and SQL skills, proficiency in working with large datasets,
• 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, leadership, and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs,
• Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations,
• Proven experience leading multiple complex projects simultaneously in a fast-paced environment.

Preferred Qualifications

• Experience building and deploying advanced price, promotions, or assortment optimization solutions at scale,
• 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,
• Proven record of intellectual property generation or public representation of technical work.

Education

• Advanced degree in a quantitative field such as computer science, operations research, applied mathematics, or a related field. PhD preferred.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all