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# Data science leader

- **Company:** Payflow. Fever
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, NumPy, Recommender Systems, Tensorflow, SQL Databases, Pytorch, Pandas, Build Management, Scikit Learn, Machine Learning Operations
- **Published:** July 10, 2026
- **Apply:** https://es.trabajo.org/oferta-5354-2f42430750b0170091977f51839ab768

## About the Role

maintainable, and reproducible code, and can 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. Benefits & Perks - 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

## Description

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 (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. - You are skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.). - You write clean


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