Get AI-powered advice on this job and more exclusive features. Direct message the job poster from agap2 Spain 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 * 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. * 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. * 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 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 e
📌 Optimization Scientist (España)
🏢 agap2 Spain
📍 España
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