Overview

As a Lead Data Scientist specialized in Supply Chain Forecasting, your mission is to revolutionize how we move products globally by building the next generation of predictive systems. You will bridge the gap between bleeding‑edge research—such as Time Series Foundation Models—and production‑grade supply chain solutions.

Responsibilities

• Drive impact on Forecast accuracy: use a range of modeling approaches, such as advanced techniques such as Time Series Foundation Models (e.g., Chronos, TimesFM) and multi‑level forecasting frameworks, to drive improvements in forecasting accuracy.
• Build Scalable Solutions: Design and deploy end‑to‑end machine learning pipelines autonomously, utilizing agentic coding tools to accelerate prototyping and development.
• Optimize our Supply Chain: Collaborate with business, product management and analytics teams to define how forecasts and related data flow through our supply chain.