OR Scientist

Arute Solutions; Fatih; On-site; TRY 350,000 - 650,000; Full time

Job summary

Arute Solutions in Istanbul is seeking an optimization-focused engineer to design, implement, and maintain LP/IP models addressing real-world logistics and operations problems.

You will work with CPLEX, Gurobi, and Python/C# to prototype solutions, develop production-quality code, and collaborate with non-technical stakeholders.

This role is Istanbul-based; experience in routing problems and AI/ML awareness is a plus.

Qualifications

• Strong background in operations research with LP/ILP.
• Experience with VRP or routing and scheduling.
• Hands-on with CPLEX or Gurobi.
• Ability to balance exact methods and heuristics.
• Proficient in C#/.NET; Python proficiency.
• Familiar with AI/ML concepts and LLM agents.

Responsibilities

• Design, build, and maintain LP/ILP models.
• Work with CPLEX, Gurobi, Hexaly to tune models.
• Tackle routing and scheduling problems.
• Develop heuristics when needed.
• Write production-quality code in C#/.NET.
• Prototype ideas in Python.
• Collaborate on AI/ML integration with LLM agents.
• Translate real-world constraints into math.

Skills

Operations research

LP/IP modeling

Routing problems

C#

Python

Communication

AI/ML concepts

Tools

CPLEX

Gurobi

Hexaly

Job description

What You\u2019ll Do

• Design, build, and maintain integer and linear programming models that solve real operational problems.
• Work hands-on with optimization solvers like CPLEX, Gurobi, Hexaly to formulate, tune, and troubleshoot optimization models.
• Work on combinatorial optimization problems such as routing, scheduling, and resource allocation.
• Develop practical solution approaches, including heuristics, when exact optimization alone is not the right fit for the problem or required runtime.
• Write and maintain the surrounding code that puts these models into practice, primarily in C# and .NET.
• Use Python to prototype ideas quickly, test hypotheses, and read through existing model code.
• Collaborate with the team where AI and ML tools, including LLM agents, might reasonably fit into our workflows.
• Partner with stakeholders to translate messy, real-world constraints into clean mathematical formulations.

What You\u2019ll Need

• A strong background in operations research, with solid depth in integer and linear programming.
• Experience with vehicle routing problems (VRP) or related routing and scheduling problems.
• Hands-on experience with CPLEX or Gurobi.
• Experience solving combinatorial optimization problems and a good understanding of when to use exact methods versus heuristic approaches.
• The ability to write and maintain production-quality code around optimization models. Experience with C# and .NET is a plus, but strong optimization thinking matters more than which language you've used to express it.
• Working Python skills; enough to script, prototype, and comfortably read through model code.
• A solid working understanding of AI and ML concepts, including what LLM agents are and how they're used in practice.
• The ability to communicate clearly with technical and non-technical stakeholders.

Nice to Have

• Experience with cash management, banking domain, e-commerce, and logistics sectors.
• Experience with forecasting or time-series models.
• Experience building agent-based workflows or tool-calling with an LLM.

Only Istanbul-based candidates will be considered.