Sr Applied Scientist - Allocation Optimization

Sr Applied Scientist - Allocation Optimization
Duration: 9 months
Location: Irvine, CA and 100% remote role


Scope:
•     Hands-on mathematical optimization for regional store allocation
•     Extend existing constraint-based, multi-objective allocation framework to new regional store configurations
•     Adapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic)
•     Model retraining and tuning per region as stores come online
•     Support explainability outputs for regional business teams

Required:
•     Mathematical optimization (linear programming, constraint satisfaction, multi-objective)
•     Python (PuLP, OR-Tools; Gurobi familiarity a plus)
•     Retail inventory allocation and replenishment logic
•     SageMaker, Lambda integration
•     Comfortable in a federated data architecture (central model code, regional data)

Preferred:
•     Operations research background
•     Experience scaling optimization models across geographies