Lead Data Scientist

Antal International Network; Madrid; Híbrido; Confidencial; Jornada completa

Descripción de la vacante

A leading AI and ML solutions provider in Madrid is seeking a Lead Data Scientist to shape and drive AI/ML strategy across multiple products. The ideal candidate will have over 5 years of experience in data science and strong leadership skills. Responsibilities include leading a talented team, developing state-of-the-art ML models, and implementing advanced generative AI solutions. Join a collaborative team with opportunities for career growth in a hybrid work environment.

Servicios

Hybrid work model

Learning and development opportunities

Collaborative team culture

Competitive compensation package

Formación

• 5+ years as a Data Scientist or ML Engineer with hands-on coding.
• At least 1 year mentoring or leading a team.
• Strong experience with regression/classification algorithms.
• Practical experience with LLMs and GenAI frameworks.
• Proficient in Python with efficient coding practices.

Responsabilidades

• Lead a small, multidisciplinary AI/ML team.
• Design, implement, and optimize ML models.
• Collaborate with engineers to operationalize models.
• Implement solutions using LLMs and advanced AI techniques.
• Provide mentorship and support growth of junior members.

Conocimientos

Team leadership

Classical machine learning

Generative AI

Python programming

Communication skills

Herramientas

scikit-learn

XGBoost

LightGBM

AWS

MLOps practices

Descripción del empleo

About the Role

We are looking for a hands-on Lead Data Scientist to shape and drive AI/ML strategy across multiple product lines. This is a high-impact role combining deep expertise in classical machine learning with practical experience in generative AI, ensuring solutions are cutting‑edge, production‑ready, and scalable.

You will lead a small, talented team, guiding end‑to‑end ML development while fostering technical excellence and innovation.

Key Responsibilities

Team Leadership & Strategy

• Lead a small, multidisciplinary AI/ML team.

• Align AI/ML initiatives with product goals while mentoring and developing team members.

Model Development

• Design, implement, and optimize ML models for tasks including classification, regression, clustering, and forecasting.

• Build pipelines for training, evaluation, and testing to ensure model robustness, accuracy, and reproducibility.

Inference & Deployment

• Collaborate with engineers to operationalize models for production.

• Ensure efficient inference and seamless integration into live systems.

Generative AI & Advanced Applications

• Explore and implement solutions using LLMs, vector databases, retrieval‑augmented generation (RAG), and agent frameworks (e.g., LangChain, LangGraph).

• Translate cutting‑edge AI research into practical, impactful applications.

Collaboration & Innovation

• Work closely with AI Engineers, Data Scientists, and product teams to deliver scalable, production‑ready AI/ML features.

• Stay up‑to‑date on both classical ML and generative AI trends to maintain a competitive edge.

Mentorship

• Provide guidance, code reviews, and knowledge sharing to support the growth of junior team members.

Requirements

• Experience: 5+ years as a Data Scientist or ML Engineer with hands‑on coding and model development.

• Leadership: At least 1 year mentoring or leading a small team.

• Classical ML Expertise: Strong experience with scikit‑learn, XGBoost, LightGBM, and other regression/classification/clustering algorithms.

• ML Lifecycle Knowledge: Training, testing, inference, continuous evaluation.

• Generative AI: Practical experience with LLMs and GenAI frameworks (e.g., LangChain, HuggingFace, CrewAI).

• Programming: Proficient in Python with clean, maintainable, efficient coding practices.

• Experimentation & Statistics: Solid foundation in experimental design and statistical methods for robust, reproducible models.

• Cloud & MLOps: Familiarity with AWS (preferred) and MLOps practices.

• Communication: Excellent problem‑solving and cross‑functional collaboration skills.

• Language: Fluent English for effective communication in a distributed global team.

Why Join

• Hybrid Work Model: Enjoy a flexible combination of office and remote work in Madrid.

• Learning & Development: Grow in an open, creative environment with opportunities to learn from experts.

• Collaborative Team Culture: Join a strong, multidisciplinary team where ownership and decision‑making are shared.

• Early‑Stage Impact & Career Growth: Contribute to a fast‑growing AI startup with international reach.

• Competitive Compensation: Attractive economic package aligned with experience.