Mathematical Modeler - We are seeking a skilled Mathematical Modeler to design and implement large-scale optimization pipelines using advanced mathematical techniques.
Role Overview :
We are looking for a detail-oriented individual with strong expertise in operations research to develop and deploy optimization models for complex real-world problems. Key responsibilities include :
- Developing and deploying optimization models (LP, MIP, heuristics, constraint programming) for complex business challenges.
- Building scalable optimization pipelines with Gurobi and Python programming languages.
- Collaborating with stakeholders to define problems, gather requirements, and deliver impactful solutions.
- Communicating findings and model outcomes clearly to non-technical stakeholders.
- Staying current with research in operations research and optimization methods.
Requirements :
To be successful in this role, you will need :
3+ years of experience in optimization, operations research, or applied data science.Experience with Gurobi, CPLEX, or OR-Tools.A solid mathematical foundation in optimization and problem-solving.Excellent communication skills and ability to interact with cross-functional teams.An advanced degree in Operations Research, Industrial Engineering, Applied Mathematics, or related field.