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Data Science Lead

Spain, Madrid Employment contract · Job Posted June 18, 2025
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus)
  • confident in exploring data, designing models, and evaluating their performance with rigor
  • skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.)
  • experience leading data science projects
  • enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
  • 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

What we offer

  • 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
  • English classes
  • Gympass membership
  • salary advance via Payflow

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