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