What are the responsibilities and job description for the Multi-Disciplined Scientist position at Elevait Solutions?
Job Title: Multi-Disciplined Scientist III
Location: Painted Post, NY 14870
Summary Of Job
Responsible for developing and implementing mathematical programming, simulation models, and cost models to solve real-world business challenges. The role supports process analysis, production planning, logistics optimization, operational data analysis, and deployment of optimization and simulation tools into production environments.
Must-have/Required Skills
- 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 such as CPLEX, Gurobi, and Pyomo GLPK
- Proficiency with simulation tools such as AnyLogic and SimPy
- Proficiency in programming languages such as Python
- Strong analytical and critical thinking skills
- Attention to detail and 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
- Ability to collect, clean, and analyze operational data
- Ability to translate findings into model parameters and actionable insights
- Ability to analyze process flows, resource allocation, production planning, and logistics scenarios
- Ability to document models, methodologies, and results
- Ability to assist in deploying optimization, simulation, and cost modeling tools into production using modern software and platforms
Nice-to-have Skills
- Master’s degree preferred
- Experience with data preparation, workflow automation, and visualization
- Exposure to manufacturing, supply chain, or commercial analytics preferred
Key Responsibilities And Duties
- Develop and implement mathematical programming, simulation models, and cost models including linear and mixed-integer programming and discrete-event simulation.
- Analyze process flows, resource allocation, production planning, and logistics scenarios.
- Recommend evidence-based improvements to business and operational processes.
- Collect, clean, and analyze operational data.
- Translate analytical findings into model parameters and actionable insights.
- Collaborate with cross-functional teams to frame business problems and gather requirements.
- 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.