Expertise in optimization, inventory control theory, and reinforcement learning
5+ years of applied research experience
PhD in operations research, applied mathematics, theoretical computer science, plus 5+ years industry experience
Knowledge of supply chain management, inventory control, stochastic optimization
Proven track record of launching novel scientific solutions in highly ambiguous domains — from problem formulation through research, prototyping, and production deployment
Proficiency in coding (e.g., Python) with experience developing production-quality scientific software
Technical depth in one or more of: mathematical optimization, causal inference, stochastic modeling, or sequential decision-making