Data Science Lead

Fever España; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading tech platform for culture and live entertainment is looking for a Lead Data Scientist in Madrid. In this role, you will oversee data-driven projects, mentor a team, and shape the direction of data operations. If you have a strong background in statistics and programming, and a passion for innovation, this is a perfect opportunity.

Servicios

Bonus linked to performance

Stock options

40% discount on all Fever events

Flexible hybrid model

Health insurance and compensation options via Cobee

Gympass membership

Salary advance via Payflow

Formación

• Experience leading data science projects.
• Confident in SQL, Python, and model performance evaluation.
• Strong foundations in statistics and machine learning.

Responsabilidades

• Own strategic data science projects from exploration to deployment.
• Guide and mentor a small team of Data Scientists.
• Design models for user behavior analysis and marketing efficiency.

Conocimientos

Statistics

Machine Learning

Data Exploration

Team Leadership

SQL

Python

Model Evaluation

Curiosity

Collaboration

Educación

Master’s or PhD in Statistics or Data Science

Descripción del empleo

We’re Fever , the world’s leading tech platform for culture and live entertainment,

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment.

Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!

Ready to be part of the experience?

Now, let’s discuss this role and what you will do to help achieve Fever’s mission.

Location : Madrid

About the Role

We are looking for experienced and inspiring data science leaders who are excited to take ownership of critical areas in the business—such as product optimization, personalization, or marketing—and lead small, collaborative teams to deliver meaningful impact.

As a Lead Data Scientist at Fever, you will combine strong technical skills with an ability to work across diverse teams and projects. You'll use data to solve complex business problems while also supporting the growth and development of your teammates.

This is a highly cross-functional and visible role where your work will directly shape key business and product decisions. You’ll have the chance to influence the direction of the Data Science team and contribute to our shared culture of learning, innovation, and inclusion.

What You’ll Do

• Take full ownership of strategic data science projects, from exploration to deployment
• Guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
• Design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
• Collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
• Help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
• Play an active role in hiring, onboarding, and nurturing an inclusive team culture
• Partner with senior leaders to inform strategic planning for the Data function at Fever

Who You Are

• You have strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus).
• You are confident in exploring data, designing models, and evaluating their performance with rigor
• You thrive in ambiguity, balancing tech health with speed of impact and learning, and are able to help a team incorporate new information as it emerges
• You are skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.).
• You write clean, maintainable, and reproducible code, and can also prototype ideas quickly when needed
• You have experience leading data science projects and know how to deliver valuable insights without overcomplicating the solution
• You enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
• You are curious, resourceful, and proactive when faced with complex challenges.

Nice to Have

• Experience with recommendation systems, Bayesian modeling, or causal inference
• Background in growth, marketing analytics, or digital product optimization
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow
• Exposure to experimentation platforms or production ML pipelines.
• Bonus linked to performance
• Stock options
• 40% discount on all Fever events and experiences
• Flexible hybrid model
• Health insurance and flexible compensation options via Cobee
• Gympass membership
• Salary advance via Payflow

Thank you for considering joining Fever. We cannot wait to learn more about you!

If you want to learn more about us : Fever's Blog | Tech.Eu | TechCrunch

Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!

If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.

If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice

J-18808-Ljbffr