Data Scientist, Allocation Optimization on C2C roles

Data Scientist, Allocation Optimization/rate:$45/hr on C2C

Duration: ~9 months Location: US, remote acceptable

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 explain ability 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