APPLIED SCIENTIST-OPERATION RESEARCH & SYSTEMS ANALYST (ORSA) _ Remote _ Retail Domain Exp

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

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)

Best Regards