Sport and Data Scientist

Job Summary

• Lead the exploitation of the player-tracking dataset, converting 2-Dimensions and 3-Dimensions raw data into physical, technical and tactical basketball concepts and insights


• Develop models to accurately evaluate and forecast player and team performance


• Identify opportunities to apply data-driven research on multiple areas to influence other departments of the organization, in particular sports science.


• Contribute to the development of basketball thought and workflow optimization of the department and the organization as a whole.

• Bachelor’s degree or higher in technical discipline (sport science, data science, computer science, statistics, biostatistics, etc.)


• Master’s Degree (applied mathematics, statistical analysis, statistical science, data science, biostatistics, etc.) preferred


• PhD Degree preferred


• 3+ years of experience in a research or applied oriented position


• Training in and/or experience with data engineering, ETL processes and database architecture (RStudio, Python, SQL, and the like) as well as with Data Visualization programs


• Training in and/or experience with supervised and unsupervised machine learning techniques (e.g. regression models, decision trees, neural networks, and clustering methods) and other modeling techniques


• Demonstrated passion for basketball and familiarity with basketball rules and terminology


• Be a critical thinker, eager to both give and receive feedback


• Have a growth mentality, eager to learn and develop within our team


• Be team-oriented, focused on team results not individual accomplishment


• Embrace a dynamic, changing, diversified workload