Senior Operations Research Engineer

Avenga; Turkey; On-site; TRY 600,000 - 800,000; Full time

Benefits offered by this job

Private health insurance

Well-being programs

Flexible and hybrid work models

Laptops and gear

Training

Language classes

Social events

Great offices

More

Job summary

Avenga is seeking a Senior Operations Research Engineer to design mathematical optimization models for large-scale industrial challenges. You will build algorithms for planning, scheduling, routing, and resource allocation, working closely with software engineers and data scientists to deliver production-ready solutions.

You will validate models through simulation, improve performance, and document results while collaborating with cross-functional teams to align with business goals and

Qualifications

• MSc or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or another STEM discipline.
• Strong knowledge of optimization techniques such as linear programming, mixed-integer programming, constraint programming, nonlinear optimization, or heuristic/metaheuristic algorithms.
• Experience translating business problems into mathematical optimization models.
• Experience with LLMs.
• Ability to combine optimization workflows with LLM automation.
• Experience building production-quality software rather than research prototypes only.
• Experience working with large datasets and developing efficient optimization workflows.
• Strong analytical thinking and problem-solving skills.
• Ability to work independently in an R&D environment with evolving requirements.
• Good communication skills and fluent English.

Responsibilities

• Design mathematical optimization models for complex industrial problems.
• Develop algorithms for planning, scheduling, routing, allocation, and decision support.
• Collaborate with ML engineers to combine optimization with AI solutions.
• Build scalable optimization pipelines using Python and modern software engineering practices.
• Validate optimization models through simulation and experimentation.
• Analyze algorithm performance and improve solution quality and efficiency.
• Work with cross-functional teams to translate business objectives into models.
• Document approaches and results to support knowledge sharing.

Skills

Optimization techniques

Translating problems to models

LLMs experience

LLM automation

Production-quality software

Large datasets

Analytical thinking

Independent R&D work

Good communication

Education

MSc or PhD in OR/Applied Math/Industrial Eng/CS

Tools

Python

Cloud platforms

Distributed computing

Job description

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role

For our client, a global technology company focused on AI-driven industrial solutions, we are looking for a Senior Operations Research Engineer to join a team solving complex optimization problems at scale.

In this role, you will design mathematical models and optimization algorithms that improve planning, scheduling, resource allocation, and operational efficiency. Working closely with software engineers, data scientists, and machine learning specialists, you will turn complex business challenges into scalable optimization solutions suitable for production environments.

This position combines applied mathematics, optimization, simulation, and software engineering in a research-driven environment where ideas quickly become production systems.

IMPORTANT NOTE: Working time required to have 1-2h overlap with US PST time zone

Core skills you’ll bring

• MSc or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or another STEM discipline.
• Strong knowledge of optimization techniques such as linear programming, mixed-integer programming, constraint programming, nonlinear optimization, or heuristic/metaheuristic algorithms.
• Experience translating business problems into mathematical optimization models.
• Experience with LLMs.
• Ability to combine optimization workflows with LLM automation.
• Experience building production-quality software rather than research prototypes only.
• Experience working with large datasets and developing efficient optimization workflows.
• Strong analytical thinking and problem-solving skills.
• Ability to work independently in an R&D environment with evolving requirements.
• Good communication skills and fluent English.

Nice-to-have

• Experience with machine learning or AI-assisted optimization.
• Experience with simulation, stochastic optimization, agent-based modeling, or Markov models.
• Knowledge of high-performance computing (HPC).
• Experience with cloud platforms and distributed computing.
• Experience with industrial optimization problems such as logistics, manufacturing, energy, robotics, or supply chain.

The impact you'll create

• Design and implement mathematical optimization models for complex industrial problems.
• Develop algorithms for planning, scheduling, routing, allocation, and decision support.
• Collaborate with machine learning engineers to combine optimization techniques with AI solutions.
• Build scalable optimization pipelines using Python and modern software engineering practices.
• Validate optimization models through simulation and experimentation.
• Analyze algorithm performance and continuously improve solution quality and computational efficiency.
• Work closely with cross-functional teams to understand business objectives and translate them into mathematical models.
• Document approaches, assumptions, and experimental results to support knowledge sharing and future development.

What supports your journey

Through our values, we strive to provide you with the tools, autonomy, trust, and assistance you need to excel. Enjoy benefits like private health insurance, well-being programs, flexible and hybrid work models, laptops and gear, training, language classes, social events, great offices, and more.

• private health insurance
• well-being programs
• flexible and hybrid work models
• laptops and gear
• training
• language classes
• social events
• great offices
• more

People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.