Staffing - Multi-Disciplined Scientist III#26-14913
$63.33 per hour
Painted Post, NY
Onsite Job Description
Internal Title:
Operations Research Scientist Supervisor:
Farid Taghiyev
Location:
Corning, NY
Type:
100% On-Site/Full-Time 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.
KEY RESPONSIBILITIES
- Develop and implement mathematical programming, simulation models and cost models (e.g., linear and mixed-integer programming, discrete-event simulation) to address real-world business challenges.
- Analyze process flows, resource allocation, production planning, and logistics scenarios, recommending evidence-based improvements.
- Collect, clean, and analyze operational data; translate findings into model parameters and actionable insights.
- Collaborate with cross-functional teams to frame business problems, gather requirements, and 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.
Experiences/Education - Required o Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative discipline. o 7+ years of practical experience applying operations research and industrial engineering techniques to solve business or engineering problems. o Proficiency with optimization solvers (e.g., CPLEX, Gurobi, Pyomo+GLPK), simulation tools (e.g., AnyLogic, SimPy), and programming languages such as Python. o Strong analytical and critical thinking skills; attention to detail and a passion for problem-solving. o Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. o Collaborative team player with strong interpersonal skills. o Curious, adaptable, and eager to continuously learn and apply new methods. o Results-oriented and proactive in driving projects to completion. Experiences/Education - Desired
- Master's degree preferred.
- Experience with data preparation, workflow automation, and visualization is a plus.
- Exposure to manufacturing, supply chain, or commercial analytics preferred.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."