Scientist III (Painted Post)

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:
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.