Senior Applied Scientist, Parts Intelligence & Inventory Optimization

The role

You will own and evolve optimization and ML models for the Parts Agent. This includes building decision models, optimization routines, and AI-powered tools for inventory intelligence.

What you will do

• Own and evolve optimization and ML models for reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.
• Design and implement inventory intelligence including vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.
• Build and maintain APIs and tools that expose models to GenAI agent workflows.
• Partner with PM and design to translate inventory problems into tractable models.
• Iterate with real users via design partnerships and pilot deployments.
• Contribute to the surrounding Python service including performance, observability, testing, and reliability.
• Help shape how parts intelligence integrates with the broader MaintainX product.

Required qualifications

• 5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.
• Strong fluency with at least one optimization paradigm (LP/MILP, stochastic programming, simulation).
• Practical experience with demand forecasting or inventory management models.
• Solid Python service engineering: APIs, async, testing, profiling, observability.
• Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a related quantitative field.
• Strong undergraduate foundation at minimum.
• Track record of iterating data-driven systems with real users.
• Product mindset and delivery orientation.
• Comfort with ambiguity.
• Familiarity with GenAI tooling (LLM tool calling, structured output, prompt design for constrained generation).

Nice to have

• Experience at a known product company shipping inventory management, supply chain, or procurement optimization at scale.
• Exposure to learning-augmented optimization.
• Domain experience in MRO (Maintenance, Repair & Operations) inventory, spare parts management, field service logistics, or manufacturing supply chains.
• Tech-lead experience or interest in growing into a tech-lead role on this team.

About the company

MaintainX is a mobile-first work execution platform for industrial and frontline teams. In August 2026 MaintainX became part of Autodesk.