Staff OR Scientist

We are seeking a highly skilled and innovative Principal Scientist – Operations Research & Simulation to lead the development of advanced simulation platforms and optimization algorithms for complex, automated fulfillment environments. This role requires a deep understanding of operations research, optimization theory, and simulation modeling, with a strong focus on solving NP-hard scheduling and orchestration challenges.

Key Responsibilities

• Lead the design and development of advanced simulation and emulation platforms that accurately replicate complex fulfillment environments, including automation systems, human workflows, and software orchestration layers.
• Architect and implement robust optimization algorithms utilizing operations research techniques such as linear programming, dynamic programming, heuristics, and stochastic models.
• Develop and apply solutions for NP-hard problems related to scheduling, resource allocation, and orchestration using constraint-based and temporal planners, as well as commercial solvers (e.g., Gurobi, CPLEX).
• Conduct in-depth analysis of large-scale performance data to identify inefficiencies, extract actionable insights, and recommend data-driven improvements in throughput, accuracy, and system stability.
• Collaborate cross-functionally with software engineering, robotics, and operations teams to integrate simulation models and optimization algorithms into live production systems.
• Design and validate digital twins that offer predictive capabilities and support scenario planning and what-if analysis for future deployments.
• Leverage expertise in simulation frameworks and tools (e.g., AnyLogic, FlexSim, Simio, or custom-built environments in Python/C++) to develop high-fidelity models for continuous performance evaluation.
• Develop and maintain analytics solutions, data pipelines, and optimization engines using strong programming skills in Python, R, and SQL.
• Apply deep domain knowledge of automated warehouse operations, robotics orchestration, and human-machine interaction to ensure simulation fidelity and real-world applicability.