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