Role: Staffing – Data/Simulation Scientist III
Location: - 100% On-Site/Full-Time Corning, NY
Pay Rate $ 65/hr on W2
Duration: 12 + Months
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.