Staff Applied Scientist
Core
Lead R&D for AI/ML models powering core replenishment technology to optimize perishable inventory control, reduce food waste, and drive smarter decisions for enterprise grocers.
Role type
Staff Applied Scientist (Supply Chain Optimization & ML)
Builds
Enterprise-grade AI solutions for grocery replenishment and inventory management
Domain
Grocery retail, supply chain management, operations research
Deliverable
production ML models
Required skills
machine learning, forecasting, operations research, stochastic optimization, multi-echelon supply chain modeling, Python
Preferred skills
inventory optimization, game theory, approximate dynamic programming, ML platform understanding
Technologies
Python, numpy, torch, pandas
Responsibilities
Set technical direction for core replenishment R&D including demand forecasting and inventory optimization; model complex problems like inventory decay and price elasticity; drive research from concept to production; mentor scientists and engineers; push boundaries of AI capabilities in products and workflows
Seniority
Staff, hands-on IC with mentorship responsibilities
