Senior Applied Scientist - Allocation Optimization (Remote)

Cystems Logic Inc; San Jose (CA); Hybrid; USD 165,312,000 - 247,968,000; Full time

Job summary

Cystems Logic Inc. in Irvine, CA seeks a Sr Applied Scientist to lead allocation optimization across regional stores. This 9-month contract role combines hands-on optimization work with model extension to new regions and business rules, plus retraining as stores come online.

The ideal candidate has strong mathematical optimization skills, Python with PuLP/OR-Tools, and experience with retail inventory logic and cloud tools like SageMaker and Lambda. Remote work is acceptable.

Qualifications

• Mathematical optimization via LP/constraint satisfaction/multi-objective
• Python with 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)

Responsibilities

• Hands-on mathematical optimization for regional store allocation
• Extend 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

Python programming

Retail allocation

Multi-objective optimization

Constraint programming

Federated data architectures

Tools

PuLP

OR-Tools

Gurobi

SageMaker

Lambda

Job description

Cystems Logic Inc. in Irvine, CA seeks a Sr Applied Scientist to lead allocation optimization across regional stores. This 9-month contract role combines hands-on optimization work with model extension to new regions and business rules, plus retraining as stores come online.

The ideal candidate has strong mathematical optimization skills, Python with PuLP/OR-Tools, and experience with retail inventory logic and cloud tools like SageMaker and Lambda. Remote work is acceptable.