Sr Applied Scientist - Allocation Optimization - Remote

Location: San Jose, CA, us, Remote

Job 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.