Senior Data Scientist - Football

**You should have:** * Extensive professional experience applying data science, machine learning and deep learning to complex real-world problems, with strong **Python** skills for analysis, modelling and production-oriented development. * Direct experience working with **football tracking and event data**, or comparable high-volume, high-frequency and spatiotemporal datasets, with a clear understanding of their practical challenges. * Experience taking models from research into **reliable production systems**, including ownership of complete pipelines from data preparation and feature engineering through deployment, monitoring and maintenance. Attention to detail and familiarity with cloud providers and production infrastructure are expected. * A **strong understanding of football** and the ability to connect technical work to meaningful questions involving player roles, tactics, phases of play or team behaviour. * The ability to work effectively with ambiguity, make defensible modelling choices, assess uncertainty and balance technical ambition with pragmatic delivery. * Excellent communication skills in **English**, with the ability to explain complex analyses, modelling choices and limitations to technical colleagues, business stakeholders and professional football clubs. French would be an advantage. * A collaborative and proactive approach, with the ability to lead projects independently, make informed trade-offs, share ideas early and support less experienced colleagues. **Nice to have:** * Experience with football analytics or presenting analytical work to football clubs. **Location:** * Paris, France preferred, with regular visits to our Paris office. Remote work is possible within European time zones.