Optimization Engineer
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Title: Optimization Simulation EngineerLocation: Corning, NYDuration: 12 MonthsInterview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members. Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be consideredDescription:100% On-SiteManager is open to nonlocal candidates who are willing to relocate at their own expense.KEY RESPONSIBILITIESDevelop and implement mathematical programming, simulation models and cost models (e.g., linear and mixed-integer programming, discrete-event simulation) to address real-world business challenges.Analyze process flows, resource allocation, production planning, and logistics scenarios, recommending evidence-based improvements.Collect, clean, and analyze operational data; translate findings into model parameters and actionable insights.Collaborate with cross-functional teams to frame business problems, gather requirements, and present results to technical and non-technical audiences.Document models, methodologies, and results; support knowledge sharing and team best practices.Assist in deploying optimization, simulation and cost modeling tools into production using modern software and platforms.Experiences/Education - RequiredBachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative discipline.7+ years of practical experience applying operations research and industrial engineering techniques to solve business or engineering problems.Proficiency with optimization solvers (e.g., CPLEX, Gurobi, Pyomo+GLPK), simulation tools (e.g., AnyLogic, SimPy), and programming languages such as Python.Strong analytical and critical thinking skills; attention to detail and a passion for problem-solving.Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.Collaborative team player with strong interpersonal skills.Curious, adaptable, and eager to continuously learn and apply new methods.Results-oriented and proactive in driving projects to completion.Experiences/Education - DesiredMaster’s degree preferred.Experience with data preparation, workflow automation, and visualization is a plus.Exposure to manufacturing, supply chain, or commercial analytics preferred.