Shape the future of parts intelligence with MaintainX as a Senior Applied Scientist. This role focuses on inventory optimization and AI model development to enhance operation efficiency.
We're seeking a seasoned Senior Applied Scientist to develop intelligent systems for the Parts Agent feature at MaintainX. You will work closely with teams to create decision models for inventory management, focusing on reorder predictions, stock balancing, and demand forecasting.
Your expertise in Python and optimization will be pivotal for delivering tools that empower frontline operations.
Key Responsibilities:
Own optimization and ML models for Parts Agent capabilities
Design vendor lead time and safety stock models
Build APIs to enhance GenAI agent workflows
Collaborate with product teams for model applicability
Gather and implement user feedback iteratively
Requirements:
5+ years in software engineering or data science
Solid background in optimization paradigms
Proficient in Python service engineering
Experience with demand forecasting models
Familiarity with GenAI tooling
Drive impactful inventory solutions and contribute to MaintainX's mission of operational excellence.