Senior Applied Scientist, Parts Intelligence & Inventory Optimization
Tasks
- Build optimization and ML models
- Calculate economic order quantity
- Compute safety stock using criticality
- Expose models via APIs and tools
- Forecast demand
- Generate structured model inputs and outputs
- Implement proactive stockout alerting
- Improve Python service performance and reliability
- Integrate inventory intelligence with product over time
- Integrate with GenAI tool calling
- Iterate models with real user feedback
- Maintain observability and testing
- Model vendor lead times
- Optimize multi site stock balancing
- Predict reorder points
- Translate inventory problems into tractable models
- Traverse substitution graphs
Perks/Benefits
Skills/Tech-stack
APIs | Async | Demand forecasting | Economic Order Quantity | GenAI | Inventory Management | LLM Tool Calling | LP | Lead Time | Lead Time Modeling | MILP | Observability | Optimization | Order Quantity | Profiling | Prompt engineering | Python | Safety stock | Simulation | Stochastic Programming | Structured Output | Testing | Tool-Calling
Education
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