Optimization Engineer

DivIHN Integration • Painted Post, NY • 20h ago

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Lavanya at 224-369-0873 or Deepak at 224-507-1279 Title: Optimization Engineer Location: Corning, NYDuration: 12 MonthsInterview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members. Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Description: 100% On-SiteManager is open to nonlocal candidates who are willing to relocate at their own expense. 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 Bachelors 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 Masters degree preferred. Experience with data preparation, workflow automation, and visualization is a plus. * Exposure to manufacturing, supply chain, or commercial analytics preferred.

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