Introduction
This position involves leading the optimization architecture, problem formulation, solver selection, and constraint modeling in the Retail/Inventory domain for a client in the retail industry.
Responsibilities
- Lead the optimization architecture: problem formulation, solver selection, constraint modeling
- Own the mathematical framework generating optimized allocation plans incorporating business constraints
- Architect multi-objective optimization balancing in-stock rates, inventory turns, and operational costs
- Guide the optimization team on problem decomposition and solution approach per region
- Interface with customer supply chain planning teams on constraint definition and business rule translation
Requirements: Required:
- Operations Research (MS or PhD preferred), strong optimization foundation
- Solver experience: Gurobi, CPLEX, or equivalent
- Translating business constraints into mathematical formulations
- Python, advanced numerical computing
- Experience leading or mentoring applied scientists
- Retail supply chain or inventory optimization domain knowledge
Preferred: Preferred:
- Store allocation / replenishment system experience
- Familiarity with agentic AI frameworks
- AWS data/ML stack (SageMaker, Step Functions, Lambda)
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior