Sr Applied Scientist - Operations Research & Systems Analysis; ORSA

Sr Applied Scientist - Operations Research & Systems Analysis (ORSA)

Duration: 9 months

Location:

Irvine, CA and 100% remote role Scope:

• 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

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 (Sage Maker, Step Functions, Lambda)