PstrongAre you looking for a new challenge where advanced optimization meets real-world impact? /strong /ppWe are looking for a strongSenior Optimization Scientist /strong to join a cutting-edge technology project within the strongaviation and travel sector /strong, working on complex, high-impact optimization problems. /ppYou will collaborate with cross-functional teams to translate business needs into strongmathematical models and robust optimization algorithms /strong, contributing to innovative and production-ready solutions. /ppbr/ppstrongKey Responsibilities: /strong /ppbr/ppstrongOptimization Algorithms /strong /pulliDesign, develop, and implement classical and metaheuristic optimization algorithms (e.g. Genetic Algorithms, PSO, Simulated Annealing). /liliCreate custom optimization solutions to solve complex mathematical and engineering problems. /li /ulpstrongProblem Modeling /strong /pulliTranslate complex business rules into strongmathematical constraints /strong. /liliCollaborate closely with technical and business stakeholders to design solutions for real operational challenges. /li /ulpstrongData Analysis Preparation /strong /pulliCollect, clean, and preprocess data from multiple sources. /liliIdentify patterns and insights to improve optimization model performance. /li /ulpstrongModel Evaluation Improvement /strong /pulliEvaluate and fine-tune optimization algorithms to meet performance and scalability requirements. /liliPerform sensitivity analysis to assess the impact of constraints and parameters. /li /ulpstrongCollaboration Communication /strong /pulliWork with product and delivery teams to productionize optimization models. /liliCommunicate results, insights, and implications clearly to senior stakeholders. /li /ulpbr/ppbr/ppstrongRequirements: /strong /pulliBachelor’s or Master’s degree in strongOperations Research, Applied Mathematics, Computer Science /strong, or a related field. /lilistrong3–4+ years of experience /strong in optimization or a related role. /liliStrong experience with strongmetaheuristic optimization techniques /strong (GA, PSO, SA, etc.). /liliProven ability to translate complex mathematical problems into actionable optimization solutions. /liliProficiency in strongPython /strong and data science libraries (Pandas, NumPy, SciPy, Scikit-learn). /liliHands-on experience with optimization libraries such as strongPuLP, Pyomo /strong, and frameworks like strongMealpy, DEAP, or Optuna /strong. /liliSolid understanding of strongbusiness rule modeling and constraint programming /strong. /liliFluent strongEnglish /strong (international environment). /li /ulpbr/ppbr/ppstrongNice to Have: /strong /pulliExperience with optimization solvers such as strongGurobi, CPLEX, or Hexaly /strong. /liliExperience with data visualization tools and libraries. /liliKnowledge of strongETL processes /strong and data cleansing. /liliFamiliarity with linear optimization techniques. /liliExperience deploying models on strongcloud infrastructure (AWS preferred) /strong. /liliExposure to advanced mathematical modeling tools (Pyomo, OR-Tools). /li /ulpbr/ppstrongSponsorship /strong under the Highly Qualified Professional scheme (strongPAC /strong) may be strongprovided /strong. /ppbr/ppstrongAbout You: /strong /pulliStrong communication and presentation skills. /liliExcellent problem-solving and critical-thinking abilities. /liliCurious mindset with a passion for learning new technologies. /liliComfortable working in fast-paced, ambiguous environments. /liliAvailability to work in a stronghybrid model (3 days on-site per week in Barcelona) /strong. /li /ulpbr/ppstrongSi 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. /strong /ppbr/ppemAgap2 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. /em /p