Operations Research Engineer

Key Responsibilities

• Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics.
• Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient.
• Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy.
• Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance.
• Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients.
• Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes.
• Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders.
• Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.

Requirements

• Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
• Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain.
• Technical Skills:
• Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling).
• Strong programming skills in languages such as Python, C++, or Java.
• Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools.
• Familiarity with supply chain management principles and practices.
• Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets.
• Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• Teamwork: Ability to work effectively in a collaborative, cross-functional team environment.
• Adaptability: Willingness to learn and adapt to new challenges and technologies.
• Experience with machine learning techniques applied to supply chain problems.
• Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies.
• Experience in the software development lifecycle, including version control and agile methodologies.