Senior Applied Scientist, Parts Intelligence & Inventory Optimization

📋 Description Own and evolve optimization/ML models for Parts Agent: reorder points, EOQ, stock balance. Design advanced inventory intelligence: lead time modeling, safety stock, substitutions. Build APIs/tools to expose models to GenAI workflows for grounded, explainable actions. Partner with PM/design to translate real-world inventory problems into tractable models. Iterate with users via design partnerships and pilots; reflect feedback into the model. Contribute to the Python service: performance, observability, testing, reliability. 🎯 Requirements 5+ years in software/data science with optimization/forecasting/ML shipped. Strong fluency in LP/MILP or stochastic prog and forecasting/inventory models. Solid Python service engineering: APIs, async, testing, profiling, observability. Academic grounding in OR, Industrial Eng, Supply Chain, Stats; strong undergrad. Track record of iterating data-driven systems with real users; redesign when rejected. Familiarity with GenAI tooling (LLM calls, structured output, prompts). 🎁 Benefits Competitive salary and equity opportunities. Healthcare, dental, and vision coverage. 401(k) / RRSP enrollment. Take what you need PTO. Diverse, meritocratic culture at MaintainX.