Multi-Disciplined Scientist (Painted Post)

JOB DESCRIPTION
Title:

Multi-Disciplined Scientist III
Location:

Painted Post, NY, USA 14870
Type:

100% On-Site (W2 Contract)
Interview Process:

2 Rounds via Teams (Hiring Manager + Team Panel)
Relocation:

Open to non-local candidates willing to relocate at their own expense

Key Responsibilities
Develop and implement mathematical programming, simulation, and cost models including: Linear Programming, Mixed-Integer Programming, Discrete-Event Simulation
Analyze process flows, production planning, logistics scenarios, and resource allocation to recommend operational improvements.
Collect, clean, validate, and analyze operational data to build model parameters and actionable business insights.
Collaborate with cross-functional teams to define business problems, gather requirements, and deliver analytical solutions.
Present technical findings and recommendations to both technical and non-technical stakeholders.
Document methodologies, models, assumptions, and results to support knowledge sharing and best practices.
Assist in deploying optimization, simulation, and cost modeling tools into production environments using modern software platforms.

Required Qualifications
Bachelor’s degree in: Operations Research, Industrial Engineering, Applied Mathematics Or related quantitative discipline
7+ years of hands-on experience applying operations research and industrial engineering techniques in business or engineering environments.
Strong experience with optimization solvers such as:
CPLEX,Gurobi Pyomo,GLPK
Experience with simulation tools such as: AnyLogic, SimPy
Strong programming experience in Python.
Excellent analytical, critical thinking, and problem-solving abilities.
Strong communication skills with the ability to explain complex concepts clearly.
Collaborative team player with strong interpersonal skills.
Self-driven, adaptable, and proactive mindset.

Preferred Qualifications
Master’s degree preferred.
Experience with: Data preparation, Workflow automation, Data visualization
Exposure to: Manufacturing, Supply Chain, Commercial analytics