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Corning Incorporated · 1 day ago

Operational Research Engineer

Wilmington, NC

Full-time

Onsite

Entry, Mid Level

$79K/yr - $109K/yr

2+ years exp

Corning Incorporated is a leading innovator in glass, ceramic, and materials science, focused on pushing the boundaries of technology. They are seeking an Operational Research Engineer to design, develop, and deploy advanced analytics solutions that optimize business operations across various domains such as planning and production.

Manufacturing

No H1B

Responsibilities

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

Qualification

Operations ResearchMathematical OptimizationSimulation TechniquesAnalytics ProgrammingData ScienceSupply Chain CollaborationProject LeadershipMachine Learning FamiliarityData Analysis TechniquesDigital Transformation ExperienceModel Governance AwarenessCommunication SkillsProblem-Solving SkillsTeamworkAdaptability

Required

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, AnyLogic, AMPL, MATLAB, or relevant simulation/optimization platforms

Ability to translate business processes and workflow logic into mathematical models

Preferred

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

Benefits

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.