Multi-Disciplined Scientist III - SL Call 5/26 11am EST

Premier Staffing SolutionPainted Post, NY

About The Position

This role involves developing and implementing mathematical programming, simulation models, and cost models to solve real-world business challenges. The scientist will analyze various operational scenarios, collect and analyze data, and collaborate with cross-functional teams to present findings and support the deployment of modeling tools.

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.

Nice To Haves

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

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.

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