ppbAre you looking for a new challenge where advanced optimization meets real-world impact? /b /p pWe are looking for a bSenior Optimization Scientist /b to join a cutting‑edge technology project within the baviation and travel sector /b, working on complex, high‑impact optimization problems. /p pYou will collaborate with cross‑functional teams to translate business needs into bmathematical models and robust optimization algorithms /b, contributing to innovative and production‑ready solutions. /p h3Key Responsibilities: /h3 h3Optimization Algorithms /h3 ul liDesign, develop, and implement classical and metaheuristic optimization algorithms (e.g. Genetic Algorithms, PSO, Simulated Annealing). /li liCreate custom optimization solutions to solve complex mathematical and engineering problems. /li liTranslate complex business rules into bmathematical constraints /b. /li liCollaborate closely with technical and business stakeholders to design solutions for real operational challenges. /li /ul h3Data Analysis Preparation /h3 ul liCollect, clean, and preprocess data from multiple sources. /li liIdentify patterns and insights to improve optimization model performance. /li liEvaluate and fine‑tune optimization algorithms to meet performance and scalability requirements. /li liPerform sensitivity analysis to assess the impact of constraints and parameters. /li liWork with product and delivery teams to productionize optimization models. /li liCommunicate results, insights, and implications clearly to senior stakeholders. /li /ul h3Requirements: /h3 ul liBachelor’s or Master’s degree in Operations Research, Applied Mathematics,



Computer Science, or a related field. /li lib3–4+ years of experience /b in optimization or a related role. /li liStrong experience with bmetaheuristic optimization techniques /b (GA, PSO, SA, etc.). /li liProven ability to translate complex mathematical problems into actionable optimization solutions. /li liProficiency in bPython /b and data science libraries (Pandas, NumPy, SciPy, Scikit‑learn). /li liHands‑on experience with optimization libraries such as bPuLP, Pyomo /b, and frameworks like bMealpy, DEAP, or Optuna /b. /li liSolid understanding of bbusiness rule modeling and constraint programming /b. /li liFluent bEnglish /b (international environment). /li /ul h3Nice to Have: /h3 ul liExperience with optimization solvers such as bGurobi, CPLEX, or Hexaly /b. /li liExperience with data visualization tools and libraries. /li liKnowledge of bETL processes /b and data cleansing. /li liFamiliarity with linear optimization techniques. /li liExperience deploying models on bcloud infrastructure (AWS preferred) /b. /li liExposure to advanced mathematical modeling tools (Pyomo, OR‑Tools). /li /ul h3Sponsorship /h3 punder the Highly Qualified Professional scheme (PAC) may be bprovided /b. /p h3About You: /h3 ul liStrong communication and presentation skills. /li liExcellent problem‑solving and critical‑thinking abilities. /li liCurious mindset with a passion for learning new technologies. /li liComfortable working in fast‑paced, ambiguous environments. /li liAvailability to work in a bhybrid model (3 days on‑site per week in Barcelona) /b. /li /ul /p #J-18808-Ljbffr

📌 Optimization Scientist (Barcelona)
🏢 agap2 Spain
📍 Barcelona