Operations Research Scientist -- SONDC5808811

Title: Operations Research Scientist (Multi-Disciplined Scientist III)

Note: Manager is open to non-local 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:

• Bachelor’s 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, Pyomo+GLPK), 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:

• Master’s degree preferred.
• Experience with data preparation, workflow automation, and visualization is a plus.
• Exposure to manufacturing, supply chain, or commercial analytics preferred.

Compunnel Inc. is an Equal Employment Opportunity (EEO) employer committed to fostering an inclusive, diverse, and equitable workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, citizenship status, age, disability, protected veteran status, marital status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

As a global workforce solutions provider, Compunnel values diversity of thought, background, and experience, and believes an inclusive workforce strengthens innovation and client success.