Optimization Scientist

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 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).

Sponsorship

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

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

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