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 robust programming skills in Python, R, and SQL.
Apply deep domain knowledge of automated warehouse operations, robotics orche

📌 Staff OR Scientist (Gurugram)
🏢 GreyOrange
📍 Gurugram