Data Scientist

Job Summary:

We are seeking a distinguished professional to join our Smart Manufacturing and Automation team as an Operations Research Lead. As a leading expert in the field you will be responsible for developing and implementing cutting-edge mathematical models and algorithms to optimize production planning scheduling and resource allocation.

Key Responsibilities:

• Develop and implement advanced mathematical models and algorithms to optimize production planning scheduling and resource allocation
• Select algorithm approaches and techniques to solve complex optimization problems
• Choose commercial and open-source tools and standardize model development
• Architect optimization solutions with factory systems and business process integration
• Develop and implement mathematical programming or artificial intelligence-based algorithms to optimize production plans and schedules
• Lead the path to AI-based scheduling and optimization
• Analyze data to identify trends and opportunities for improvement
• Develop and implement machine learning models to predict production outcomes

We are looking for a distinguished professional who is a true expert in the field of operations research and optimization with a strong track record of innovation and achievement. If you are a highly accomplished professional with a passion for developing and implementing cutting-edge optimization solutions we encourage you to apply.

Minimum Requirements :

• Ph.D. in Operations Research Mathematics Computer Science or related field
• 10 years of experience in operations research mathematical optimization or related field with a strong track record of innovation and achievement

Preferred Qualifications:

• Recognized expert in the field with a strong reputation and network in the academic and industry communities
• Proven track record of developing and implementing optimization solutions that have resulted in significant improvements in efficiency cost reduction and productivity
• Hands-on experience with shop floor operations and a deep understanding of manufacturing systems and processes
• Proficiency in optimization software (CPLEX or Gurobi) programming languages (Python R or SQL) and machine learning libraries (Scikit-learn or TensorFlow)
• Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to non-technical stakeholders
• Excellent leadership and collaboration skills with experience in leading cross-functional teams to implement optimization solutions
• A strong publication record with numerous academic papers and patents in the field of operations research and optimization
• Industry recognition with awards or honors for contributions to the field of operations research and optimization