For further inquiries regarding the following opportunity please contact one of our Talent Specialists Lavanya at or Deepak at
Title: Operations Research Scientist Location: Corning NY Duration: 12 Months Interview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description:
100% On-Site Manager is open to nonlocal candidates who are willing to relocate at their own expense.
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
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 (e.g. CPLEX Gurobi PyomoGLPK) simulation tools (e.g. AnyLogic SimPy) and programming languages such as Python.
Strong analytical and critical thinking skills; attention to detail and a 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.
Experiences/Education - Desired
Masters degree preferred.
Experience with data preparation workflow automation and visualization is a plus.
Exposure to manufacturing supply chain or commercial analytics preferred.
About us: DivIHN the IT Asset Performance Services organization provides Professional Consulting Custom Projects and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization Specialization and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race color religion (creed) gender gender expression age national origin (ancestry) disability marital status sexual orientation or military status.
For further inquiries regarding the following opportunity please contact one of our Talent Specialists Lavanya at or Deepak at Title: Operations Research Scientist Location: Corning NY Duration: 12 Months Interview process: 2nd rounds via Teams - one with the manager and 2nd round with pane...
For further inquiries regarding the following opportunity please contact one of our Talent Specialists Lavanya at or Deepak at
Title: Operations Research Scientist Location: Corning NY Duration: 12 Months Interview process: 2nd rounds via Teams - one with the manager and 2nd round with panel of team members.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description:
100% On-Site Manager is open to nonlocal candidates who are willing to relocate at their own expense.
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
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 (e.g. CPLEX Gurobi PyomoGLPK) simulation tools (e.g. AnyLogic SimPy) and programming languages such as Python.
Strong analytical and critical thinking skills; attention to detail and a 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.
Experiences/Education - Desired
Masters degree preferred.
Experience with data preparation workflow automation and visualization is a plus.
Exposure to manufacturing supply chain or commercial analytics preferred.
About us: DivIHN the IT Asset Performance Services organization provides Professional Consulting Custom Projects and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization Specialization and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race color religion (creed) gender gender expression age national origin (ancestry) disability marital status sexual orientation or military status.