Sport and Data Scientist
Harris Blitzer Sports &Amp; Entertainment
Camden, NJThis was removed by the employer on 11/29/2020 1:15:00 PM PST
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Full Time Job
Position Summary: The Sport and Data Scientist will work in the Philadelphia 76ers 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