Role: Lead Data Scientist
Skills: Advanced Analytics and Machine Learning, CRISP-DM, MLOps and CI/CD
Location: Madrid, Spain (Hybrid)
Type: Permanent
We are at Coforge hiring for Lead Data Scientist with Advanced Analytics and Machine Learning, CRISP-DM, MLOps and CI/CD
Role Summary
* We are seeking a Lead Data Scientist passionate about leading innovative projects in the field of 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 be responsible for guiding a team of data scientists and collaborating 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 (pretrained 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