[Remote] Sr Applied Scientist - Allocation Optimization - Remote

Note: The job is a remote job and is open to candidates in USA. Cystems Logic is hiring a Senior Applied Scientist to support regional retail store allocation optimization. The role focuses on extending and adapting constraint-based, multi-objective optimization models, retraining them for regional needs, and supporting explainability for business teams.

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

Skills

• 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)
• Operations research background
• Experience scaling optimization models across geographies

Benefits

• Remote work acceptable

Company Overview

Cystems Logic empowers businesses to achieve greater efficiency and drive growth through our comprehensive suite of 360° value-driven technology solutions. It was founded in undefined, and is headquartered in Chatsworth, CA, US, with a workforce of 51-200 employees. Its website is https://www.cystemslogic.com.

Company H1B Sponsorship

Cystems Logic has a track record of offering H1B sponsorships, with 2 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.