Industrial Engineer - Modeling & Optimization

Industrial Engineer - Modeling & OptimizationCorning is hiring an Industrial Engineer – Modeling & Optimization in Painted Post, NY at Erwin Park Center. This role is primarily onsite, involves approximately 50% travel on average, primarily domestic, with travel levels varying based on project needs and phases, and relocation assistance is available. This position supports a corporate engineering team that helps Corning sites solve complex operational challenges using mathematical modeling, simulation, optimization, and Python-based tools. While the role is part of a broader engineering group, this person will be the team's primary resource for this specialized modeling work and will help expand how these tools are used across the organization. The work directly influences decisions tied to capacity, cost, process flow, resource planning, and operational performance across multiple businesses and locations. It is a strong fit for someone who wants both technical depth and the opportunity to help shape a growing capability.Key Responsibilities:Develop and apply mathematical programming, simulation, and cost models to solve business and engineering problemsAnalyze process flows, resource allocation, production planning, and operational data to identify improvement opportunitiesTravel to Corning sites to understand processes, gather inputs, and translate real-world operations into model assumptions and recommendationsBuild interactive tools and web-based applications in Python to support analysis, visualization, and decision-makingWork with cross-functional stakeholders to frame problems, gather requirements, and communicate results to technical and non-technical audiencesDocument modeling approaches, assumptions, and results to support repeatability and knowledge sharingHelp deploy optimization, simulation, and cost-modeling tools into business useMinimum Qualifications and Skills:Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative disciplineRelevant experience applying mathematical modeling, simulation, optimization, and industrial engineering or operations research methods to solve business or engineering problemsHands-on experience building and using mathematical models and simulation models in a professional or applied research settingExperience with optimization/modeling tools such as CPLEX, Gurobi, Pyomo, GLPK, or similar toolsExperience with simulation/modeling tools such as AnyLogic, FlexSim, SimPy, or similar platformsStrong Python capability for data processing, analysis, and application or tool development, including experience with libraries such as Polars, Streamlit, Altair, or similar toolsAbility to communicate technical concepts clearly to technical and non-technical audiences and work effectively across teams to drive projects forwardPreferred Qualifications and Skills:Master's degree preferred; PhD may also be a strong fitExperience with data preparation, workflow automation, and data visualizationExposure to manufacturing, supply chain, industrial operations, or commercial analyticsExperience building interactive dashboards, web-based tools, or decision-support applications for end usersLean or traditional operational industrial engineering experience is helpful, but not requiredThis position does not support immigration sponsorship. The range for this position is $102,848.00 - $141,416.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.