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Lead Data Scientist

Lead Data Scientist

Coforgemadrid, España
Hace 22 días
Descripción del trabajo

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.

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