Lead Data Scientist – Forecasting

The Forecasting Center of Excellence (COE) at CVS Health builds scalable forecasting systems that support pricing, promotions, and assortment decisions across the retail business. As a Lead Data Scientist, you will own how demand is modeled and used for decision-making, not just how it is predicted.This role focuses on defining and scaling a unified forecasting framework that produces consistent outputs across use cases. You will work with data science, engineering, product management, software development, and business teams to ensure forecasts are not just accurate, but stable, and usable in real decision workflows.**In this role, you will have the opportunity to:** 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.**Required Qualifications**

years of experience in forecasting or demand modeling,

years of 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.)**4+** years of experience with Python and SQL for large-scale data processing 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 leading multiple complex projects simultaneously in a fast-paced environment. Experience mentoring junior team members and setting standards for forecasting approaches, model validation, and code quality **Preferred Qualifications** Experience applying demand forecasting methods in a retail environmentExperience managing large scale projects and working with multiple stakeholders in a matrixed environment **Education** Advanced degree (PhD) preferred in quantitative disciplines with applied experience in forecasting, Additional details about available benefits are provided during the application process and on .
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