Data Scientist II (Soccer)

Description: Develop statistical and machine learning models for player recruitment in soccer. Manage model lifecycle from design to deployment, supporting professional clubs globally. Requirements: 3+ years of experience in Python or R for statistical/machine learning models. Strong applied statistical judgment and experience with sports tracking data. Proficiency in SQL for handling large datasets. Ability to communicate modeling decisions to technical teams and partner clubs. Benefits: Ownership of projects with opportunities to innovate in soccer analytics. Work with a leading sports tech platform impacting professional sports globally.