Operations Research Scientist, Corning

Operations Research Scientist

Location: Corning, NY - 100% On-Site Duration: 12 Months Manager is open to nonlocal candidates who are willing to relocate at their own expense. Interview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members. Key Responsibilities

Develop and implement mathematical programming, simulation models and cost 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, simulation and cost modeling 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. 7 years of practical experience applying operations research and industrial engineering 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.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. At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships. We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options. TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.