Senior Operations Research Scientist

Requisition Number: 73056

The company built on breakthroughs.

Join us.

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.

How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Role Purpose

The Senior Operations Research Scientist will design, develop, and implement mathematical optimization and simulation models to improve decision-making and operational efficiency across our Optical Communications business. Working as part of the Operations Research team, you will collaborate with data scientists, engineers, and business stakeholders to analyze complex problems in manufacturing, supply chain, planning, and commercial operations, translating data and business requirements into actionable solutions.

Key Responsibilities

* Develop and implement mathematical programming and simulation 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 and simulation tools into production using modern software and platforms.

Experiences/Education - Required

* Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative discipline.

* 2+ years of practical experience