Lead Data Scientist

Location: Madrid, Spain

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

Skills: ML, AI, Python, PySpark

Role Summary

We 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.