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