Operations Research Scientist; Multi-Disciplined Scientist III Job Painted Post New York USA,Research/Development

Position: Operations Research Scientist (Multi-Disciplined Scientist III)
Location: Painted Post

Operations Research Scientist

Tekberry is looking for a highly analytical and technically advanced Operations Research Scientist to work on-site with our client in Painted Post, NY. This is a contract opportunity supporting optimization, simulation modeling, and operational analytics initiatives within a research and engineering environment.

Position Summary

The Operations Research Scientist will develop and implement mathematical programming, simulation, and cost models to solve complex operational and engineering challenges. This role works closely with cross-functional engineering, manufacturing, logistics, and business teams to analyze operational data, improve processes, and support data-driven decision-making through advanced modeling and optimization techniques.

Key Responsibilities

Develop and implement optimization, simulation, and cost models using operations research methodologies
Design mathematical programming models including:
- Linear programming
- Mixed-integer programming
- Discrete-event simulation
Analyze process flows, production planning, logistics, and resource allocation scenarios
Collect, clean, and analyze operational and production data
Translate analytical findings into actionable business and engineering recommendations
Collaborate with cross-functional stakeholders to define business problems and technical requirements
Present technical findings to both technical and non-technical audiences
Support deployment of optimization and simulation tools into production environments
Document methodologies, models, assumptions, and results to support team knowledge sharing and maintainability
Assist with workflow automation, analytics, and operational improvement initiatives

Qualifications

Required:

Bachelor’s degree in:
- Operations Research
- Industrial Engineering
- Applied Mathematics
- Related quantitative discipline
Minimum 7+ years of practical experience applying:
- Operations research
- Industrial engineering
- Optimization techniques
Experience with optimization solvers such as:
- CPLEX
- Gurobi
- Pyomo + GLPK
Experience with simulation tools such as:
- Any Logic
- Sim Py
Strong Python programming experience
Excellent analytical, problem-solving, and critical-thinking skills
Strong communication and presentation skills
Ability to collaborate across technical and business teams
Strong attention to detail and results-oriented mindset

Preferred:

Master’s degree in a related discipline
Experience with:
- Data preparation
- Workflow automation
- Data visualization
Exposure to:
- Manufacturing
- Supply chain
- Commercial analytics environments

Soft Skills

Strong collaboration and interpersonal skills
Curious, adaptable, and eager to learn new methodologies
Self-starter with proactive approach to problem-solving
Ability to manage complex projects and evolving priorities
Comfortable communicating complex technical concepts clearly

Work Environment

100% onsite in Painted Post, NY
Collaborative research, engineering, and analytics environment
Cross-functional interaction with technical and operational teams
Minimal travel required

Interview Process

First interview with hiring manager
Second-round Teams panel interview with team members

Additional Notes

Manager is open to non-local candidates willing to relocate at their own expense