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 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). 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) . Seniority level

Mid-Senior level Employment type

Full-time Job function

IT Services and IT Consulting Barcelona, Catalonia, Spain

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📌 Optimization Scientist (Madrid)
🏢 agap2 Spain
📍 Madrid