Senior Applied Scientist, Parts Intelligence & Inventory Optimization

Maintainx

Remote, United States
Competitive salary; meaningful equity opportunitie...
Remote
Optimization modeling lp milp stochastic programming
Demand forecasting and inventory management systems
Python service engineering apis async testing
The role involves owning the intelligence layer behind the Parts Agent to solve complex inventory questions like reorder timing and stockout risks

Job Summary

  • The role involves owning the intelligence layer behind the Parts Agent to solve complex inventory questions like reorder timing and stockout risks.
  • Candidates must have a strong academic grounding in Operations Research or related quantitative fields combined with practical experience in optimization paradigms.
  • MaintainX offers competitive salary, meaningful equity, comprehensive healthcare coverage, and a culture that values meritocracy and global collaboration.

Matching Summary

The role involves owning the intelligence layer behind the Parts Agent to solve complex inventory questions like reorder timing and stockout risks.

Salary

Competitive salary; Meaningful equity opportunities; Healthcare, dental, vision, 401(k)/RRSP, PTO

Skills & Requirements

Must-have

  • Optimization modeling LP MILP stochastic programming
  • Demand forecasting and inventory management systems
  • Python service engineering APIs async testing
  • GenAI tool calling structured output prompt design
  • Operations Research or Industrial Engineering background

Nice-to-have

  • Experience with MRO spare parts management domain
  • Learning-augmented optimization using historical data
  • Tech-lead experience or growth interest
  • Product company scale shipping optimization solutions

Key Requirements

  • 5+ years professional software engineering or data science experience
  • Solid Python service engineering skills
  • Academic degree in Operations Research or related field

Work Rights

Not specified

Tailored Resume

Cover Letter