MaintainX
Technology
SeniorAppliedScientist,PartsIntelligence&InventoryOptimization
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist, Parts Intelligence & Inventory Optimization at MaintainX. Skills: Parts Intelligence, Inventory Optimization, Machine Learning, Optimization. Evolve optimization models. Evolve ML models”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years experience, Optimization experience, Forecasting experience, ML systems experience, Python service engineering, Operations Research foundation, Industrial Engineering foundation, Supply Chain foundation, Statistics foundation, Quantitative undergraduate foundation
Nice to Have
PhD preferred, Inventory management experience, Supply chain optimization experience, Procurement optimization experience, Learning-augmented optimization experience, MRO inventory experience, Spare parts management experience, Field service logistics experience, Manufacturing supply chain experience, Tech-lead experience
What You'll Do.
Evolve optimization models
Predict reorder points
Optimize economic order quantity
Balance multi-site stock
Implement inventory intelligence
Model vendor lead time
Model criticality-weighted safety stock
Traverse substitution graph
Alert proactively for stockouts
Expose models to GenAI
Enable Parts Agent actions
Translate inventory problems
Design feature schemas
Reflect feedback into model
Contribute to Python service
How You'll Work.
Team & Collaboration
Partner with product; Partner with design; Work with operators; Design partnerships; Pilot deployments; Work with users; Work with PM; Work with team
Process & Methodology
Roadmap planning
Full Job Description
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-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. MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. 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 Forbes 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: 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. 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
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