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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).
- 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
- 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).

About You
- 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) .

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

IT Services and IT Consulting

Barcelona, Catalonia, Spain

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📌 Optimization Scientist (Barcelona)
🏢 agap2 Spain
📍 Barcelona