Lead Data Scientist - Forecasting

1w1 week ago

CVS Health

New York City, US · Full-time · $142,140 – $284,280

About this role

CVS Health's Forecasting Center of Excellence builds scalable forecasting systems supporting pricing, promotions, and assortment decisions across retail. As Lead Data Scientist, own how demand is modeled and used for decision-making, beyond just prediction. Define and scale a unified forecasting framework producing consistent outputs across use cases.

Work with data science, engineering, product management, software development, and business teams. Ensure forecasts are accurate, stable, and usable in real decision workflows. Integrate internal and external data sources like coupon redemption, merchandising, competitive, and macroeconomic into scalable pipelines.

Evaluate tradeoffs across forecasting methods for stable, interpretable, decision-ready outputs. Develop scenario planning and simulation frameworks measuring business impact of pricing, promotions, and assortment. Implement robust MLOps practices for deployment, monitoring, and retraining in cloud environments.

Join a fast-paced team building innovative advanced analytics using cloud capabilities. Elevate the technical bar, champion continuous learning, and recruit top-tier analytical talent. Lead exploration of state-of-the-art machine learning and deep learning techniques while aligning with cross-functional milestones.

Requirements

Expertise in building scalable forecasting systems for demand modeling
Experience defining unified forecasting frameworks across use cases
Proficiency in integrating diverse data sources into forecasting pipelines
Knowledge of forecasting methods, tradeoffs, and scenario simulation
Skills in MLOps for cloud deployment, monitoring, and retraining (Azure, GCP, AWS)
Ability to lead machine learning and deep learning explorations
Track record developing data science roadmaps aligned with business objectives
Leadership in cross-functional teams for decision-ready forecasting outputs

Responsibilities

Own the design and evolution of a unified forecasting architecture, defining how demand is constructed
Integrate internal and external data sources (e.g., coupon redemption, merchandising, competitive, macroeconomic) into scalable forecasting pipelines
Evaluate tradeoffs across various forecasting methods, ensuring outputs are stable, interpretable, and decision-ready
Develop scenario planning and simulation frameworks to measure business impact of pricing, promotions, and assortment decisions
Implement robust MLOps practices for deployment, monitoring, and retraining in cloud environments (Azure, GCP, AWS)
Lead exploration of state-of-the-art machine learning and deep learning techniques
Translate complex business objectives into a multi-quarter data science roadmap, prioritizing high-impact initiatives
Elevate the technical bar, establish a culture of continuous learning, and champion recruitment of top-tier analytical talent

Benefits

Surrounded by passionate colleagues who innovate with purpose and hold themselves accountable
Prioritize safety and quality in everything while helping simplify health care
Join a fast-paced team focused on cutting-edge advanced analytics using cloud capabilities
Be part of building a world of health around every individual and community