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:
Optimization & Algorithms
- 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).
- Hands‑on experience with optimization libraries such as PuLP, Pyomo , and frameworks li

📌 Optimization Scientist (Barcelona)
🏢 agap2 Spain
📍 Barcelona