Sr Applied Scientist - Allocation Optimization - Remote
Job Description
Job DescriptionJob Description
Hi,
Job Title: Sr Applied Scientist - Allocation Optimization
Location: Irvine, CA and remote acceptable too
Duration: 9 months Contract
We have below longterm job opening.
If you are interested , Please send your updated resume with below details.
Your current location:
Visa status:
Availability:
Expected rate all inc on c2c /1099 :
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
Additional Information
All your information will be kept confidential according to EEO guidelines.