Global Supply Chain Data Scientist
Core
Develop and deploy analytics, automation, and predictive models to improve logistics cost, service, and operational scalability across the global network.
Role type
Senior IC data scientist (supply chain)
Builds
Dashboards, predictive models, alerts, and control tower analytics for logistics operations
Domain
Supply chain management and logistics
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, machine learning, statistical analysis, Python, SQL, data visualization, scenario planning, simulation
Preferred skills
supply planning and forecasting, cloud platforms (AWS, Azure, Google Cloud), advanced machine learning frameworks
Technologies
Python, SQL, Tableau, Power BI, Qlik, Spotfire
Responsibilities
Provide data-driven insights and scenario modeling for logistics leaders; Build and maintain logistics KPI views; Develop control tower analytics for early warning indicators; Drive automation and advanced analytics to scale insight generation; Create models for throughput forecasting and transportation analytics; Partner with supply chain SMEs to align analytics with governance standards
Seniority
Senior, hands-on IC with project leadership
