Develop and deploy analytics, automation, and predictive models to improve logistics cost, service, and operational scalability across the global network
Job Summary
Develop and deploy analytics, automation, and predictive models to improve logistics cost, service, and operational scalability across the global network.
Lead cross-functional digital initiatives from concept to rollout, translating logistics problems into data products and ensuring solutions are implemented, adopted, and sustained.
Partner with supply chain & logistics SMEs and digital stakeholders to align analytics with standards, governance, and process maturity efforts.
Matching Summary
Develop and deploy analytics, automation, and predictive models to improve logistics cost, service, and operational scalability across the global network.
Skills & Requirements
Must-have
Develop and deploy analytics
Predictive models for logistics
Logistics KPI views
Control tower analytics
Automation using Python, SQL
Data visualization tools
Nice-to-have
Cross-functional digital initiatives
Strong project governance
Change management
Executive presence and leadership
Supply planning and forecasting
Key Requirements
8+ years of experience in data science
Bachelor's or Master's Degree
PMP certification preferred
Proficiency in Python, R, or SQL
Experience with Tableau, Power BI, Qlik, or Spotfire