Description
As the Global Supply Chain Data Scientist, you will develop and deploy analytics, automation, and predictive models that improve logistics cost, service, and operational scalability across the global network. You will lead cross‑functional digital initiatives from concept to rollout—translating logistics problems into data products (dashboards, models, alerts) and ensuring solutions are implemented, adopted, and sustained through strong project governance and change management.
Principle Duties/Responsibilities:
Provide data-driven insights, dashboards, and scenario modeling to support logistics leaders and operations teams (warehouses, freight, distribution, service parts) in day-to-day and enterprise decision-making
Build and maintain logistics KPI views covering warehouse performance, freight analytics, productivity, and operational health, with clear exception signals and root-cause paths