Simulation Engineer

Position:Simulation Engineer

Experience: 3+ Years

• Scenario Analysis: Execute comprehensive what-if analyses to test changes in layout, staffing, logic, or equipment before physical implementation as per the provided specifications.
• Data Integration: Collaborate with SMEs to clean and prepare input data, defining statistical distributions (Poisson, Gaussian, etc.) that accurately reflect process variability.
• Optimization: Apply Operations Research techniques (mixed integer programming, heuristics, scheduling, graph optimization and queueing theory) within simulation environments to identify global optima versus local improvements.
• Deep understanding of Discrete Event Simulation (DES) principles (entities, resources, queues, events).
• Proven experience with Agent-Based Simulation (ABS) for modeling decentralized, autonomous behaviors.
• Technical Stack:
• SimPy: Strong proficiency in Python-based simulation modeling; ability to write custom classes and generators.
• Commercial Tools: Hands-on experience with AnyLogic (Java-based scripting) or FlexSim (FlexScript/SQL).
• Operations Research: Solid foundation in queueing theory, stochastic processes, and mathematical optimization.
• Programming: Integration of version control, automated testing/verification, and code review practice. Proficiency in Python (pandas, NumPy, SciPy), Java for model building, data engineering, and analysis.