Optimization Specialist (Operations Research, Remote)

Job summary

The role involves leveraging engineering and Operations Research expertise to enhance production efficiency and develop innovative solutions in a manufacturing context.

Qualifications

• Proficient in stochastic modeling & simulation, linear and non-linear programming.
• Strong background in data analysis, statistical methods, machine learning, and predictive analytics.
• Interest in collaborating with manufacturing and R&D engineering teams to understand real-world challenges.
• Experience with discrete event simulation tools such as Plant Simulation or AnyLogic.
• Mastery of Python; knowledge of R is preferred.
• Familiarity with TensorFlow or PyTorch is advantageous.

Responsibilities

• Provide foundational support for decision-making to optimize production processes.
• Identify and develop efficient solutions for various manufacturing-related scenarios.
• Create and maintain mathematical models for manufacturing optimization.
• Apply Operations Research techniques to enhance and refine optimization models.

Skills

• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Excellent communication skills to convey complex concepts.

Education

• Relevant degree in Engineering, Operations Research, or a related field is typically expected.

Tools

• Proficient in Python and experience with simulation tools like Plant Simulation or AnyLogic.