Key Responsibilities:

1. Data Analysis and Preprocessing:

o Collect, clean, and preprocess data from internal and external sources.

o Analyze data to identify trends, patterns, and anomalies.

2. Modeling and Machine Learning:

o Support the development of machine learning models, including regression and classification.

o Contribute to evaluation and performance tuning of models.

3. Problem Solving and Mathematical Modeling:

o Work with domain experts to understand business requirements.

o Translate basic requirements into data and mathematical problems.

4. Collaboration and Communication:

o Collaborate with senior data scientists and engineers to productionize solutions.

o Communicate findings in a clear and concise manner to non-technical stakeholders.

5. Tooling and Infrastructure:

o Use Python and relevant libraries (Pandas, NumPy, Scikit-learn, etc.).

o Gain experience working in cloud-based environments (e.g., AWS).

Requirements.

• Bachelor’s or Master's degree in Data Science, Computer Science,      Mathematics, or a related field.

• Minimum of 2 years of professional experience in data science or      analytics.

• Proficiency in Python and common data science libraries.

• Solid understanding of data wrangling, basic statistical analysis,      and machine learning fundamentals.

• Good communication and teamwork skills.

Nice-to-have:

• Experience with metaheuristic optimization techniques (e.g.,      Genetic Algorithms, Particle Swarm Optimization).

• Exposure to Natural Language Processing tasks such as text      classification or embeddings.

• Familiarity with data visualization libraries (Matplotlib, Seaborn,      Plotly).

• Basic knowledge of SQL and ETL processes.

• Experience with version control tools like Git.

Exposure to cloud platforms such as AWS or Azure.

What can we offer you?

· Permanent contract.

· Opportunity to develop professionally in a technological and innovative environment at an international level.

· Teleworking within a highly flexible working environment. Our team go two days a week to the client's headquarters in Viladecans.

· You will have a flexible and conciliatory timetable, normally the team works from 9am to 5pm.

· 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 paid for by the company and designed for your professional and personal development.

· Language training plans.

· 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.

· Access to gyms and sports centres with a special price through the company.

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