Optimization Scientist

agap2 Spain; Barcelona; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology consulting firm is looking for a Senior Optimization Scientist in Barcelona to work on cutting-edge optimization problems in the aviation and travel sector. The role requires collaboration with cross-functional teams to develop and implement advanced optimization algorithms. Ideal candidates will have 3-4 years of relevant experience, a degree in Operations Research or a related field, and strong proficiency in Python. The company offers a hybrid working model with three days on-site per week.

Formación

• 3-4+ years of experience in optimization or a related role.
• Proven ability to translate complex mathematical problems into actionable optimization solutions.
• Solid understanding of business rule modeling and constraint programming.

Responsabilidades

• Design, develop, and implement optimization algorithms.
• Translate complex business rules into mathematical constraints.
• Communicate results and insights clearly to senior stakeholders.

Conocimientos

Metaheuristic optimization techniques

Python (Pandas, NumPy, SciPy, Scikit-learn)

Mathematical modeling

Data analysis

Communication skills

Educación

Bachelor’s or Master’s in Operations Research, Applied Mathematics, or Computer Science

Herramientas

PuLP

Pyomo

Gurobi

CPLEX

Mealpy

DEAP

Optuna

Descripción del empleo

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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