Operational Research Engineer

Requisition Number: 72335

The company built on breakthroughs. Join us.

The division operations research engineer is focused on designing, developing, and deploying mathematical optimization, simulation, and advanced analytics solutions that address strategic business operations across planning, production, fulfillment, inventory, and operations.

• Collaborate with supply chain specialists, planners, operations teams, and engineers to define optimization problems and translate business needs into objective functions and mathematical constraints.
• Specify and gather data requirements, working with data scientists and engineers to pre-process data.
• Lead and partner with corporate resources to architect and oversee the development of operations research solutions, including linear/mixed‑integer optimization, network design, stochastic modeling, simulation, and scenario analysis.
• Participate in the design, development, and implementation of large‑scale optimization models (LP, NLP, MILP) for manufacturing and scheduling challenges.
• Formulate and enhance model predictive control (MPC) applications.
• Develop optimization solutions using tools like Gurobi, Pyomo, AMPL, MATLAB, and other relevant platforms.
• Communicate complex models and insights to both technical and non‑technical audiences, emphasizing business impact and risk/benefit trade‑offs.
• Oversee the lifecycle of OR projects from scoping and modeling to validation, deployment, and impact measurement.
• Maintain rigorous documentation, version control, and governance for all models and analytical solutions.
• Develop and track KPIs for OR initiatives; ensure solutions deliver measurable improvements in operational cost, service level, efficiency, and revenue generation.
• Support expansion into next‑generation analytics, automation, and operational resilience.
• Partner with a diverse team of OR professionals, simulation experts, and analytics modelers at both the corporate and plant levels.
• Foster a culture of critical thinking, knowledge sharing, and continuous improvement in advanced modeling techniques.

• Master’s/Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or related quantitative discipline.
• Minimum of 2‑3 years of experience in numerical optimization or operations research roles in industry; additional academic experience is a bonus.
• Knowledge of operations research techniques, including mathematical programming (linear, mixed‑integer, nonlinear), advanced simulation (discrete‑event, Monte Carlo), stochastic modeling, and scenario analysis.
• Proficiency in analytics programming languages and tools such as Python (PuLP, Pyomo, ortools), R, CPLEX, Gurobi, Any Logic, AMPL, MATLAB, or relevant simulation/optimization platforms.
• Ability to translate business processes and workflow logic into mathematical models.

• Experience with integration of OR solutions into enterprise systems (ERP, MES, planning, fulfillment platforms).
• Ability to collaborate with interdisciplinary teams and communicate effectively with technical and business stakeholders.
• Strong project leadership and stakeholder management skills.
• Excellent communication and presentation skills, with the ability to translate complex data insights into understandable and actionable recommendations.
• Strong problem‑solving skills, teamwork, adaptability, and communication skills.
• Familiarity with machine learning and data analysis techniques to support optimization problem formulation.
• Experience working with supply chain specialists, planners, and operations teams.
• Ability to identify and define objective functions based on business needs and workflow constraints.
• Familiarity with .NET platform (e.g., C#) for integrating optimization solutions with manufacturing systems (MES/ERP, SCADA).
• Experience in digital transformation, data‑driven change management, or large‑scale technology/platform deployment.
• Awareness of data privacy, model governance, and responsible analytics practices.
• Demonstrated leadership skills.

Corning offers you the total package.

• Company‑wide bonuses and…