Sport and Data Scientist

  Sports and Entertainment
  Northeast Region
  Sports Services
  Posted/Updated: 07/10/20

Job Summary


Position Summary:
The Sport and Data Scientist will work in the NBA Team Performance Department. A successful applicant will have a strong technical foundation and be passionate about better understanding the game of basketball.
Responsibilities include, but not limited to: 

  • 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.

QUALIFICATIONS (educational, experience and basic knowledge requirements):

  • 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

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