Senior Applied Scientist, Parts Intelligence & Inventory Optimization
MaintainX (An Autodesk Company) · CA, US
20 days agoImpress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Applied Scientist, Parts Intelligence & Inventory Optimization role.
Rezi rewrites your resume against MaintainX (An Autodesk Company)'s job description. Free.

Tailor your resume to this Senior Applied Scientist, Parts Intelligence & Inventory Optimization role.
Rezi rewrites your resume against MaintainX (An Autodesk Company)'s job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Applied Scientist, Parts Intelligence & Inventory Optimization posting at MaintainX (An Autodesk Company) — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Applied Scientist, Parts Intelligence & Inventory Optimization posting at MaintainX (An Autodesk Company) — free, in seconds.
About the Role
We are seeking a Senior Applied Scientist to lead the intelligence layer for our Parts Agent, a key component of our Inventory & EAM roadmap. This role involves developing decision models, optimization routines, and AI-powered tools to address critical inventory questions such as reorder timing, stock level optimization, stockout risk assessment, and supplier catalog reconciliation. You will shape the modeling approach, collaborate with product and design teams, and deliver iteratively based on customer feedback.
Responsibilities
- Own and evolve optimization and ML models for Parts Agent capabilities, including reorder point prediction, economic order quantity, multi-site stock balancing, and demand forecasting.
- Design and implement advanced inventory intelligence features like vendor lead time modeling, criticality-weighted safety stock, substitution graph traversal, and proactive stockout alerting.
- Build and maintain APIs and tools to integrate these models with GenAI agent workflows, enabling grounded and explainable actions.
- Collaborate with Product Management and Design to translate real-world inventory challenges into tractable models, ensuring alignment with operator needs.
- Iterate with users through design partnerships and pilot deployments, incorporating feedback from parts managers and procurement teams.
- Contribute to the surrounding Python service, focusing on performance, observability, testing, and reliability.
- Shape the integration of parts intelligence into the broader MaintainX product, leveraging historical data for continuous model improvement.
Requirements
- 5+ years of professional software engineering or data science experience, with significant focus on optimization, forecasting, or ML systems deployed to users.
- Strong proficiency in at least one optimization paradigm (LP/MILP, stochastic programming, simulation) and practical experience with demand forecasting or inventory management models.
- Solid Python service engineering skills, including APIs, async programming, testing, profiling, and observability.
- Academic background in Operations Research, Industrial Engineering, Supply Chain, Statistics, or a related quantitative field.
- Proven track record of iterating data-driven systems with real users, adapting approaches based on feedback.
- Product mindset and delivery orientation, focusing on operator outcomes.
- Comfort with ambiguity and co-designing data models and feature schemas.
- Familiarity with GenAI tooling, including LLM tool calling, structured output, and prompt design for constrained generation.
Skills
- Optimization
- Machine Learning
- Forecasting
- Python
- API development
- Async programming
- Testing
- Profiling
- Observability
- Operations Research
- Industrial Engineering
- Supply Chain
- Statistics
- GenAI tooling
- LLM tool calling
- Structured output
- Prompt design
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Undergraduate degree in a quantitative field
Salary/Compensations
- Compensation may include commission, annual bonus, and equity.
Benefits
- Health coverage
- Retirement plans
- Leave benefits
About the Company
- MaintainX is a leading mobile-first work execution platform for industrial and frontline teams, used by over 13,000 customers globally.
- MaintainX became part of Autodesk in August 2026, joining Autodesk Operations Solutions.
- Autodesk's strategy is to unify its operations platform and converge design, make, and operate into a continuous lifecycle.
- Our mission is to keep the physical world running by providing essential tools for maintenance professionals.
Equal Opportunity
- We take pride in a culture where everyone can thrive.