Multi-Disciplined Scientist III
Job Location:
Job Location:
Painted Post, NY - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
22 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
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.
* 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 Bachelors 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 PyomoGLPK) 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
* Masters degree preferred.
* Experience with data preparation workflow automation and visualization is a plus.
* Exposure to manufacturing supply chain or commercial analytics preferred.
o Bachelors 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 PyomoGLPK) 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
* Masters degree preferred.
* Experience with data preparation workflow automation and visualization is a plus.
* Exposure to manufacturing supply chain or commercial analytics preferred.
Required Experience:
IC
About Company
CCO is transforming consulting by prioritizing outcomes and rapid implementation.
