Engineering Senior Applied Scientist, Parts Intelligence & Inventory Optimization in Winnipeg

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026, MaintainX became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform.

We're looking for a Senior Applied Scientist to own the intelligence layer behind our Parts Agent — one of the most strategic bets on our Inventory & EAM roadmap. The agent sits on top of a multi-layer parts data model (PartMaster, StockRecord, PhysicalInstance) and is responsible for answering hard inventory questions: when to reorder, how to optimize stock levels across sites, which parts are at risk of stockout, and how to reconcile messy supplier catalogs into a clean parts master. Your focus will be building the decision models, optimization routines, and AI-powered tools that make those answers trustworthy enough for enterprise maintenance teams to act on. This is a high-ownership role.

What you'll do:

• Own and evolve the optimization and ML models that power Parts Agent capabilities: reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.
• Design and implement increasingly sophisticated inventory intelligence: vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.
• Build and maintain APIs and tools that expose these models to GenAI agent workflows, enabling the Parts Agent to take grounded, explainable actions.
• Partner with PM and design to translate messy real-world inventory problems into tractable models, and push back when “optimal” isn't what operators actually want.
• Iterate with real users via design partnerships and pilot deployments.
• Take feedback from parts managers and procurement teams seriously and reflect it back into the model.
• Contribute to the surrounding Python service: performance, observability, testing, and reliability of the inventory intelligence runtime.
• Help shape how parts intelligence integrates with the broader MaintainX product over time.

About you:

• 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) and 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: you ship, you measure, you iterate.
• Comfort with ambiguity.
• Familiarity with GenAI tooling is expected.

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 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.

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits:

Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country.

Belonging:

We take pride in a culture where everyone can thrive.

Competitive pay, meaningful equity, performance bonuses, and rewards for outsized impact. Flexibility that fuels speed: Hybrid work, unlimited time off, and the autonomy to move fast and own your results. Growth at startup velocity: L&D budget, real ownership, stretch opportunities, and recognition for bold thinking and innovation. Health & wellness that keeps you at your best: Comprehensive benefits, wellness programs, parental support, and access to the tools you need to perform. A culture built for builders: Catered lunches, off-sites, hackathons, energetic teams, and a community that celebrates big wins and resilience.