Key responsibilities

1. Optimization Algorithms:

• Develop and implement metaheuristic optimization algorithms such as Genetic Algorithms (GA) .

• Solve complex mathematical problems by designing and implementing custom optimization solutions.

2. Problem Modeling:

• Translate complex business rules into mathematical constraints for optimization problems.

• Collaborate with stakeholders to understand requirements and design solutions tailored to specific operational challenges.

3. Data Analysis and Preprocessing:

• Collect, clean,and preprocess data from multiple sources to prepare it for optimization and analysis.

• Identify patterns and insights within data to improve the performance of optimization models.

4. Algorithm Performance Evaluation:

• Evaluate and finetune optimization algorithms to ensure they meet performance criteria.

• Perform sensitivity analyses to understand the impact of various constraints and parameters.

5. Collaboration and Communication:

• Work closely with product delivery teams to productionize optimization models.

• Communicate results and implications of optimization models to senior leaders and stakeholders.

6. Mentorship:

• Mentor junior data scientists and provide guidance on optimization techniques and best practices.

• Share knowledge within the team to foster a culture of continuous learning and improvement.

Requirements

• Strong experience with metaheuristic optimization techniques (e.g., Genetic Algorithms, PSO, SA).

• Proven ability to translate complex mathematical problems into actionable optimization algorithms.

• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn), as well as optimization focused libraries like PuLP, Pyomo, and metaheuristic frameworks such as DEAP and Optuna.

• Strong understanding of business rule modeling and constraint programming.

• Proficiency in programming languages such as Python or R.

• Familiarity with linear optimization techniques and tools (e.g., Gurobi, CPLEX).

What we offer?

· Permanent contract.

· Opportunity to develop professionally in a technological and internationally innovative environment.

· 50% remote work and 50% in-office at our Viladecans location.

· Working hours: 09:00 to 17:00.

· You will work in a pleasant and challenging work environment, surrounded by colleagues who will help you to overcome challenges within the projects where you will develop.

· We offer opportunities for professional growth with individualised career plans aligned with training and certifications, designed for your professional and personal development.

· Possibility of teleworking.

· Flexible remuneration: medical insurance, transport tickets, restaurant tickets and childcare vouchers. In addition, when this is arranged we have access to a series of extra benefits such as exclusive discounts in different brands such as Zalando, Amazon, Airbnb, H&M, Grupo Inditex...etc and discounts in training and restaurants in addition.

· Access to a network of gyms, sports centres and activities at a very special price.

· The possibility of improving your language skills through our training courses and plans.

· Being part of a company that is committed to equality and diversity.