Sr Applied Scientist - Allocation Optimization - Remote

Cystems Logic Inc • San Jose, CA

8d • Remote

About The Position

This is a 9-month contract role for a Sr. Applied Scientist focused on Allocation Optimization. The position involves hands-on mathematical optimization for regional store allocation, extending an existing framework to new regional store configurations, and adapting models to specific regional business rules. The role also includes model retraining and tuning per region as stores come online, and supporting explainability outputs for regional business teams.

Requirements

• 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)

Nice To Haves

• Operations research background
• Experience scaling optimization models across geographies

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed