Sr Applied Scientist - Allocation Optimization

Sr Applied Scientist - Allocation OptimizationDuration: 9 monthsLocation: Irvine, CA and 100% remote roleScope:Hands-on mathematical optimization for regional store allocationExtend existing constraint-based, multi-objective allocation framework to new regional store configurationsAdapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic)Model retraining and tuning per region as stores come onlineSupport explainability outputs for regional business teamsRequired:Mathematical optimization (linear programming, constraint satisfaction, multi-objective)Python (PuLP, OR-Tools; Gurobi familiarity a plus)Retail inventory allocation and replenishment logicSageMaker, Lambda integrationComfortable in a federated data architecture (central model code, regional data)Preferred:Operations research backgroundExperience scaling optimization models across geographies