At Abacus.AI , we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.
Role Overview :
We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.
Responsibilities :
- Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
- Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
- Work 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 current with research in operations research and optimization methods.
Requirements :
3+ years of experience in optimization, operations research, or applied data science.Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.Solid mathematical foundation in optimization and problem-solving.Excellent communication skills and the ability to interact with customers directly.Advanced degree (MS / PhD) in Operations Research, Industrial Eng, Applied Math, or related field.