Optimization Scientist

Descripción del empleo

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.

Problem Modeling

• 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.

Model Evaluation & Improvement

• Evaluate and fine-tune optimization algorithms to meet performance and scalability requirements.
• Perform sensitivity analysis to assess the impact of constraints and parameters.

Collaboration & Communication

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

Si te interesa la oportunidad y conocer todos los detalles, no dudes en aplicar al puesto para que podamos contactarte y hablar mejor sobre la posición, darte toda la información y resolver cualquier duda que te pueda surgir.

Agap2 es una empresa que ofrece igualdad de oportunidades, por ello nos comprometemos a tratar todas las candidaturas por igual en función de sus capacidades, logros y experiencia. Animamos a cualquier persona a presentar su candidatura que será tratada con igualdad de oportunidades independientemente de su raza, nacionalidad, sexo, edad, discapacidad, orientación sexual, identidad de género o cualquier otra característica.

Información extra

Status

Activa

Estudios requeridos

E.S.O

Localización

Barcelona

Tipo de contrato

Trabajo estudiantes

Publicado el

10-01-2026

Carnet de conducir

No

Vehículo

No

Carta de motivación

No

Idiomas

Español