Basketball Data Scientist (New Grad Summer 2027)

The Utah Jazz are a professional basketball organization seeking a data scientist to support Basketball Operations. The role will develop and maintain predictive models, perform data analysis, collaborate with scouting, coaching, analytics, and sports science teams, and implement new basketball analytics techniques and data sources.

What you'll do:

• Develop and maintain models to better predict basketball outcomes and facilitate better decision-making across Basketball Operations
• Perform ad hoc data analysis as necessary to help basketball decision-makers
• Interface with all departments within Basketball Operations (scouting, coaching, analytics, sports science) and strive to understand and meet their needs
• Identify, research, and implement opportunities for new models, data sources, and basketball analytics techniques
• Help maintain and test datasets used to perform analysis
• Maintain best practices for software development including test writing, documentation, and adherence to and improvement of coding standards
• Protect the reputation of the company
• Exemplify the Utah Jazz mission and values: transparent, all in, community obsessed, one team, and scrappy
• Accept other duties, as assigned

What they're looking for:

• 2+ years of experience analyzing data and training statistical models using Python or R
• Familiarity with basketball data and the latest basketball analytics techniques
• 1+ years of experience with data visualization
• Proficient in statistics fundamentals and familiarity with state-of-the-art predictive modeling techniques
• A desire to work in a startup-like environment where you will be empowered to make design decisions
• A track record of writing clean and well-documented code
• Soon to have Bachelor's or graduate degree in statistics, data science, math or equivalent experience
• Enthusiasm for basketball
• Nice to have experience with MLOps
• Nice to have experience with SQL
• Nice to have experience with data engineering

Benefits:

• Open to remote candidates