Are you looking for a new challenge where advanced optimization meets real-world impact?We are looking for aSenior Optimization Scientistto join a cutting‑edge technology project within theaviation and travel sector, working on complex, high‑impact optimization problems.You will collaborate with cross‑functional teams to translate business needs intomathematical models and robust optimization algorithms, contributing to innovative and production‑ready solutions.Key Responsibilities:Optimization & AlgorithmsDesign, 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 intomathematical constraints .Collaborate closely with technical and business stakeholders to design solutions for real operational challenges.Data Analysis & PreparationCollect, 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 experiencein optimization or a related role.Strong experience withmetaheuristic optimization techniques(GA, PSO, SA, etc.).Proven ability to translate complex mathematical problems into actionable optimization solutions.Proficiency inPythonand data science libraries (Pandas, NumPy, SciPy, Scikit‑learn).Hands‑on experience with optimization libraries such asPuLP, Pyomo, and frameworks likeMealpy, DEAP, or Optuna .Solid understanding ofbusiness rule modelin

📌 Optimization Scientist (Barcelona)
🏢 agap2 Spain
📍 Barcelona