Lead Data Scientist

Location :

Madrid, SpainModality :

Hybrid (1 / 2 days per week at the office)Skills :

ML, AI, Python, PySparkRole SummaryWe are seeking a Lead Data Scientist who is passionate about leading innovative projects in artificial intelligence and machine learning.

This role requires a combination of advanced technical skills, leadership, and the ability to work in a team.

You will guide a team of data scientists and collaborate closely with stakeholders to design solutions that directly impact the company's strategic objectives.Main Responsibilities- Lead and execute end-to-end Advanced Analytics and Machine Learning projects, following methodologies such as CRISP-DM.- Design, implement, and optimize NLP (Natural Language Processing) and Generative AI models, using advanced frameworks such as PyTorch, TensorFlow, or Hugging Face.- Collaborate with engineering teams to integrate models into production environments using MLOps practices and CI / CD pipelines.- Analyze large volumes of structured and unstructured data using tools such as Python, SQL, and Databricks.- Identify business opportunities through data analysis and generate actionable insights for stakeholders.- Mentor junior profiles within the team, fostering their professional development.- Innovate by proposing new solutions based on emerging technologies such as LLMs (Large Language Models).Minimum Requirements- Education :

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, or related disciplines.- Experience :

3-5 years working as a Data Scientist or Machine Learning Engineer, with at least 1 year in leadership roles.- Advanced proficiency in Python programming and practical knowledge in AI / ML-related frameworks (Scikit-Learn, TensorFlow, PyTorch).- Experience with data processing and analysis tools :

SQL, Databricks, and relational / non-relational databases.- Solid knowledge in MLOps practices, continuous integration (CI / CD), and deployment of models in production.- Familiarity with advanced techniques in NLP (pre trained models like BERT / GPT) and generative algorithms.Desirable Requirements- Experience working in cloud environments (AWS, GCP, or Azure).- Knowledge of vector databases, semantic embeddings, and transformer architectures.- Interpersonal skills to interact with stakeholders at different organizational levels.