Senior Inventory Optimization Scientist - ML & GenAI

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior data/ML engineer to own optimization and forecasting models for Parts Agent. You will design inventory intelligence, lead model development, and expose capabilities via APIs for GenAI workflows.

You will collaborate with product and design to translate real-world inventory problems into scalable data-driven solutions. You will drive end-to-end production services, using historical data to enhance forecasts and stock management while ensuring performance, testing,

Qualifications

• 5+ years of professional software engineering or data science experience.
• Experience with optimization, forecasting, or ML systems shipped to real users.
• Fluency with LP/MILP, stochastic programming, or simulation.
• Practical experience with demand forecasting or inventory management models.
• Solid Python service engineering, including APIs, async, testing, profiling, and observability.
• Ability to own a production service end-to-end.
• Academic grounding in Operations Research, Industrial Engineering, Supply Chain, Statistics, or related field.
• Strong undergraduate foundation at minimum.
• Track record of iterating data-driven systems with real users.
• Product mindset and delivery orientation.
• 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.

Responsibilities

• Own and evolve optimization and ML models powering Parts Agent capabilities.
• Design and implement inventory intelligence like vendor lead time modeling and safety stock.
• Build and maintain APIs and tools exposing models to GenAI workflows.
• Partner with product and design to translate inventory problems into models.
• Iterate with users through design partnerships and pilots.
• Incorporate feedback from parts managers into models.
• Contribute to Python service performance, observability, testing, and reliability.
• Help integrate parts intelligence with the broader MaintainX product.
• Use historical usage data to continuously improve model inputs.

Skills

Optimization

Machine Learning

Demand Forecasting

Inventory Management

Python

API Development

Testing

Observability

Stochastic Programming

Product Mindset

Education

Undergraduate degree (minimum)

Academic grounding in OR/Industrial Eng/Supply Chain/Statistics

Tools

GenAI

LLM Tool Calling

Structured Output

Prompt Design

Job description

Jobtailor is seeking a senior data/ML engineer to own optimization and forecasting models for Parts Agent. You will design inventory intelligence, lead model development, and expose capabilities via APIs for GenAI workflows.

You will collaborate with product and design to translate real-world inventory problems into scalable data-driven solutions. You will drive end-to-end production services, using historical data to enhance forecasts and stock management while ensuring performance, testing,