Are you interested in growing as a professional, actively participating in project decisions and doing so alongside an experienced team in a close-knit and collaborative work environment? **This is your opportunity!** If you want to work towards a more sustainable and responsible world, at CAF Digital Services we believe in and work on sustainable mobility, one of the main challenges facing today's society. At CAF Digital Services, we improve train availability and passenger well-being through data analytics and digitalization. We work with the most innovative maintenance and operation technologies to maximize train service quality. **What do we offer you?** **Positive Work Environment:** You will become part of a highly qualified team surrounded by people with a strong collaborative spirit, where you'll find a friendly and welcoming atmosphere. **Work-Life Balance:** Our hybrid model allows you to perfectly balance family and professional life. **Learning and Autonomy:** We will encourage you to work autonomously, supported by our training programs, with a highly technological product and in an international market. **Security and Stability:** CAF has been working for over 100 years on a path extending into the future, providing you with the security you need. **What will make you succeed in this role?** * Solid knowledge in mathematical and computational optimization: Mastery of techniques such as combinatorial optimization, linear and integer programming, as well as metaheuristics like Simulated Annealing, Genetic Algorithms, Tabu Search, etc. * Practical experience in modeling complex problems: Having worked on discrete optimization problems, routing, planning, assignment, or scheduling, translating real requirements into formal models (MILP, MINLP, etc.) * Technical proficiency in optimization-focused programming languages: Advanced use of Python and its ecosystem, with special emphasis on developing modules and classes oriented toward solving optimization problems. * Algorithmic performance analysis skills: Experience evaluating computation times, algorithmic complexity, and trade-offs between solution quality and efficiency. * Scientific and rigorous mindset: Ability to experiment, validate models, compare configurations, tune parameters, and document results in a structured manner. * Focus on practical impact: Beyond theoretical models, the ability to generate robust, maintainable solutions applicable to real organizational problems is valued. **What will be your mission within the company?** Your mission will be to identify, design, and develop optimization initiatives that deliver tangible improvements in processes, costs, and time. You will act as an agent of change, helping the company continuously evolve through data analysis, process improvement, and implementation of intelligent tools within the Leadmind ecosystem. You will work directly with technical, operational, and leadership teams, identifying improvement opportunities through data, observation, and interaction with processes, fostering a culture of continuous improvement and efficiency. **Position Responsibilities:** * Model complex optimization problems from business requirements, identifying key variables, constraints, objectives, and potential solution approaches. * Design, develop, and maintain optimization algorithms, including metaheuristics such as Simulated Annealing, using clean, scalable, and reusable object-oriented code. * Implement solutions in Python or other suitable programming languages, applying software engineering best practices (modularization, unit testing, version control, documentation). * Validate models and algorithms through controlled testing, sensitivity analysis, and result visualization. * Collaborate with data, product, and operations teams to translate real needs into effective computational solutions, prioritizing system performance impact. * Document technical decisions and outcomes of each iteration, ensuring reproducibility and knowledge transfer within the team. * Stay up to date with advanced optimization techniques, new tools, libraries, and relevant trends in the field. Therefore, if you are interested in working at a digital company striving for a more sustainable and responsible world, committed to equal opportunities and with an Equality Plan, don't hesitate—apply for the position now.