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