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Position: Data Simulation Engineer Experience: 4-15 yrs Job Description Design and develop complex simulation models and systems to analyze material movement and people flow for new site turn-up, validate project plans, and predict and improve outcomes across various Operations domains. Collaborate with engineers, designers, and stakeholders to guide and inform decision-making. Job Responsibilities Development and implementation of sophisticated discrete event simulation models using FlexSim, AnyLogic,and advanced optimization solvers to address complex project requirements and drive data-informed decisions. Partner closely with the Simulation Lead and external clients to define project scope, elicit detailed requirements, and translate intricate simulation concepts into clear, actionable insights for diverse audiences. Conduct analysis of simulation outputs to pinpoint optimal system configurations and performance improvements, ensuring direct alignment with critical customer and stakeholder objectives. Actively contribute to technical reviews and client meetings, presenting project progress and key findings to Simulation SMEs and customers. Timely delivery of highly accurate and robust simulation models, adhering to stringent quality standards and project deadlines Effectively work on multiple concurrent simulation projects when required, proactively communicating milestones, potential risks, and strategic adjustments to Simulation SME. Assist in constructing a library of reusable and scalable simulation model components and frameworks to enhance project efficiency and accelerate future development cycles. Qualifications Possesses a Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, or a closely related quantitative field, providing a strong theoretical foundation for advanced analytical work. Proven track record in the end-to-end development, rigorous analysis, and insightful interpretation of complex discrete event simulation models to drive operational improvements and strategic decisions. Solid grasp of fundamental statistical principles, advanced discrete event simulation methodologies, and the operational dynamics of general manufacturing environments. Hands-on proficiency with Flexsim and Anylogic simulation software, demonstrating the ability to construct, debug, and leverage sophisticated models for diverse applications. Working Knowledge of scripting languages (Python, Jscript). Exceptional analytical and problem-solving abilities, characterized by a methodical approach to dissecting complex issues and developing innovative, data-driven solutions. Skills: models,optimization solvers,discrete event simulation,python,flexsim,jscript,anylogic Show more Show less
