Are you looking for a new challenge where advanced optimization meets real-world impact?

Por favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud.

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

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- 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

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- 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:

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- 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 like Mealpy, DEAP, or Optuna .

- Solid understanding of business rule modeling and constraint programming .

- Fluent English (international environment).

Nice to Have:

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- Experience with optimization solvers such as Gurobi, CPLEX, or Hexaly .

- Experience with data visualization tools and libraries.

- Knowledge of ETL processes and data cleansing.

- Familiarity with linear optimization techniques.

- Experience deploying models on cloud infrastructure (AWS preferred) .

- Exposure to advanced mathematical modeling tools (Pyomo, OR‑Tools).

Sponsorship

under the Highly Qualified Professional scheme (PAC) may be provided .

About You:

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- Strong communication and presentation skills.

- Excellent problem‑solving and critical‑thinking abilities.

- Curious mindset with a passion for learning new technologies.

- Comfortable working in fast‑paced, ambiguous environments. xqbhyrx

- Availability to work in a hybrid model (3 days on‑site per week in Barcelona) .

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📌 Optimization Scientist (Barcelona)
🏢 agap2 Spain
📍 Barcelona