SENIOR APPLIED SCIENTIST-OPERATION RESEARCH & SYSTEMS ANALYST (ORSA)-Retail/Inventory Domain

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:

• Store allocation / replenishment system experience
• Familiarity with agentic AI frameworks
• AWS data/ML stack (SageMaker, Step Functions, Lambda)