| Location | Irvine, CA (Remote) |
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 (SageMaker, Step Functions, Lambda)