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Data Scientist – Supply Chain
ofiData Scientist - Supply Chain developing predictive models and scalable data products for operations and logistics. Collaborating with teams to improve planning, inventory, and decision-making in supply chains.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Design predictive and optimization models to improve planning, inventory, and logistics decisions
- Deliver high-impact use cases across sourcing, factory planning, and logistics while contributing to advanced solutions like digital twins
- Build scalable data products such as: dashboards, decision engines, and automated workflows, that enable real-time insights and better decisions
- Work closely with supply chain and commercial teams to turn real-world challenges into practical, data-driven solutions and communicate insights clearly
Requirements
What you’ll need- Experience in data science / advanced analytics (typically 5–10+ years)
- Supply chain or operations background is a plus
- Experience deploying models in production
- Python and SQL
- Machine learning, forecasting and/or optimization
- Cloud (AWS, Azure, GCP)
- Visualization tools (Power BI, Tableau, etc.)
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Predictive ModelingOptimizationForecastingData AnalysisAutomated Workflows
Soft Skills
CommunicationCollaboration