Optimization Engineer
DivIHN Integration
Optimization Engineer
Location: Corning, NY Duration: 12 Months Interview 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.
Key Responsibilities
- Develop and implement mathematical programming, simulation models and cost models 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.
Vacancy posted 5 days ago
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