Basketball Data Scientist (New Grad Summer 2027)

Utah Jazz•Salt Lake City, UT
•Remote

About The Position

The Utah Jazz are looking for a data scientist to perform modeling and analysis that will help inform basketball decision-making. Applicants should be completing their studies this Spring, with a targeted start date at the Jazz in Summer 2027. We are located in Salt Lake City, but are open to remote candidates.

Requirements

  • 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 Haves

  • Experience with MLOps.
  • Experience with SQL.
  • Experience with data engineering.

Responsibilities

  • 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.
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