We are seeking an experienced
Senior Applied Scientist (ORSA) with deep expertise in optimization, mathematical modeling, and retail supply chain operations to drive large-scale inventory allocation and replenishment strategies.
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
- Operations Research (MS or PhD preferred), strong optimization foundation
- Bachelor's degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
- Hands-on 7+ years of experience as Applied Scientist with expertise in Operations Research & Systems Analysis.
- 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)
