Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from agap2 Spain
Are you looking for a new challenge where advanced optimization meets real-world impact?
We are looking for a Senior Optimization Scientist to join a cutting-edge technology project within the aviation and travel sector , working on complex, high-impact optimization problems.
You will collaborate with cross-functional teams to translate business needs into mathematical models and robust optimization algorithms , contributing to innovative and production-ready solutions.
Key Responsibilities
- Design, develop, and implement classical and metaheuristic optimization algorithms (e.g. Genetic Algorithms, PSO, Simulated Annealing).
- Create custom optimization solutions to solve complex mathematical and engineering problems.
- Translate complex business rules into mathematical constraints .
- Collaborate closely with technical and business stakeholders to design solutions for real operational challenges.

Data Analysis & Preparation
- Collect, clean,



and preprocess data from multiple sources.
- Identify patterns and insights to improve optimization model performance.
- Evaluate and fine-tune optimization algorithms to meet performance and scalability requirements.
- Perform sensitivity analysis to assess the impact of constraints and parameters.
- Work with product and delivery teams to productionize optimization models.
- Communicate results, insights, and implications clearly to senior stakeholders.

Requirements
- Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Computer Science , or a related field.
- 3–4+ years of experience in optimization or a related role.
- Strong experience with metaheuristic optimization techniques (GA, PSO, SA, etc.).
- Proven ability to translate complex mathematical problems into actionable optimization solutions.
- Proficiency in Python and data science libraries (Pandas, NumPy, SciPy, Scikit-learn).
- Hand

📌 Scientist. (España)
🏢 agap2 Spain
📍 España