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[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
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