Transform Complex Business Challenges into Mathematical Solutions
We're seeking a skilled Data Scientist to design and implement large-scale optimization pipelines for customer use cases.
- Main Responsibilities :
- Develop and deploy advanced optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
- Create scalable optimization pipelines with leading solvers and Python.
- Collaborate closely with customers to define problems, gather requirements, and deliver impactful solutions.
- Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
- Stay up-to-date with the latest research in operations research and optimization methods.
Requirements :
Minimum 3+ years of experience in optimization, operations research, or applied data science.Strong expertise in Gurobi, CPLEX, or OR-Tools.Solid mathematical foundation in optimization and problem-solving.Excellent communication skills and ability to interact with customers directly.Advanced degree (MS / PhD) in Operations Research, Industrial Engineering, Applied Math, or related field.About This Role :
This is an exciting opportunity to leverage your expertise in operations research and optimization to drive business growth and success. If you're passionate about solving complex challenges and collaborating with customers to deliver impactful solutions, we encourage you to apply.