Operations Research Scientist

Operations Research Scientist#26-17343 $57.91-$62.91 per hour Painted Post, NY Onsite Job Description Our client, a Business Manufacturing And Supply company, is looking for a Operations Research Scientist for their Painted Post, NY/Corning, NY location.

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.

Requirements:

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. Master's degree preferred. Experience with data preparation, workflow automation, and visualization is a plus. Exposure to manufacturing, supply chain, or commercial analytics preferred.