Senior Applied Scientist, Parts Intelligence & Inventory Optimization

📋 Description

• Own and evolve the optimization and ML models that power Parts Agent capabilities: reorder point
• Design and implement increasingly sophisticated inventory intelligence: vendor lead time modeling
• Build and maintain APIs and tools that expose these models to GenAI agent workflows (tool calling
• Partner with PM and design to translate messy real-world inventory problems into tractable models
• Iterate with real users via design partnerships and pilot deployments. Take feedback from parts
• Contribute to the surrounding Python service: performance, observability, testing, and reliability

🎯 Requirements

• 5+ years of professional software engineering or data science experience, with significant time
• Strong fluency with at least one optimization paradigm (LP/MILP, stochastic programming
• Solid Python service engineering: APIs, async, testing, profiling, observability. You can own a
• Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a
• Track record of iterating data-driven systems with real users — you've felt what happens when a
• Product mindset and delivery orientation: you ship, you measure, you iterate. You care about the

🎁 Benefits

• Base pay is one part of the package. Depending on the role, compensation may also include
• For roles in the United States, Autodesk’s benefits are described at benefits.autodesk.com. For