Multi-Disciplined Scientist III

Job Title: Multi-Disciplined Scientist III

Location: Painted Post NY 14870

Duration: 365 days

Note: Manager is open to nonlocal candidates who are willing to relocate at their own expense. Interview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members.

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:

• 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 such as CPLEX Gurobi and PyomoGLPK
• 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:

• Masters 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.