Requisition Number: 75806
Role PurposeCorning is searching for an Operations Research Scientist to join our team in Charlotte, NC or Corning NY. In this role you 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- Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative discipline.
- 2+ years of practical experience applying operations research 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 or R.
- 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 - Desired- Master's degree preferred.
- Experience with data preparation, workflow automation, and visualization is a plus.
- Exposure to manufacturing, supply chain, or commercial analytics preferred.
This position does not support immigration sponsorship. The range for this position is $91,225.00 - $125,435.00 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.
A job that shapes a life. Corning offers you the total package. Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
- Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
- As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
- Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
- Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
