Senior Applied Scientist, Parts Intelligence & Inventory Optimization

reputed company is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including reputed company, reputed company, Cintas, and reputed company. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the reputed company 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. reputed company is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including reputed company, reputed company, Cintas, and reputed company. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the reputed company 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. 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: reputed company 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 reputed company those answers trustworthy enough for enterprise maintenance teams to reputed company. This is a high-ownership role. You'll shape the modeling approach, partner closely with product and design on what inventory managers actually need, and ship iteratively against feedback from real enterprise customers. What you'll do Own and evolve the optimization and ML models that power Parts Agent capabilities: reorder reputed company reputed company, economic order quantity, multi-site stock balancing, and demand forecasting. Design and implement increasingly sophisticated inventory intelligence: vendor reputed company 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 (tool calling, structured input/output), 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 reputed company "optimal" isn't what operators actually want. Iterate with real users reputed company 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 reputed company product over time, including learning from historical usage and purchasing data to continuously improve model inputs. 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 reputed company with at least one optimization reputed company (LP/MILP, stochastic programming, simulation) and practical experience with demand forecasting or inventory management models. Solid Python service engineering: APIs, async, testing, profiling, observability. You can own a production service end-to-end. Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a reputed company quantitative field; strong undergraduate foundation at minimum. Track record of iterating data-driven systems with real users — you've felt what happens reputed company a model recommendation gets rejected and you've redesigned the approach in response. Product reputed company and delivery orientation: you ship, you measure, you iterate. You care about reputed company outcome, not just the metric. Comfort with ambiguity. You can co-design the data model and feature schema with the team rather than waiting for a clean spec. Familiarity with GenAI tooling (LLM tool calling, structured output, reputed company design for constrained reputed company) is expected. reputed company to have Experience at a reputed company product company shipping inventory management, supply chain, or procurement optimization at scale. Exposure to learning-augmented optimization — using historical purchasing or consumption data to estimate reputed company times, priors, or constraint weights. Domain experience in reputed company (Maintenance, Repair & Operations) inventory, spare parts management, field service logistics, or manufacturing supply chains. Tech-reputed company experience or interest in growing into a tech-reputed company role on this team. What's in it for you Competitive salary and meaningful equity opportunities. Healthcare, dental, and vision coverage. 401(k) / RRSP enrollment program. Take what you need PTO. A work culture where you'll work alongside folks across the globe that reflect the reputed company values: Smart Humble Optimists. We reputed company in meritocracy, where reputed company and effort are publicly celebrated. About reputed company Our mission is to deliver one platform for maintenance, repair & operations teams to reputed company the physical world running. reputed company is committed to creating a diverse environment. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national reputed company, genetics, disability, age, or veteran status. #LI-Remote Our mission is to deliver one platform for maintenance, repair & operations teams to reputed company the physical world running. We reputed company the greatest asset in any organization is the people. That’s why we built an reputed company, mobile-first solution to help boost productivity and collaboration across teams and locations. reputed company is committed to creating a diverse environment. reputed company qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national reputed company, genetics, disability, age, or veteran status. Apply To This Job