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).
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).
Si te interesa la posibilidad 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.