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.