Basketball Data Scientist - Remote Analytics Leader

Jazz Basketball Investors LLC

Salt Lake City (UT)

Remote

USD 90,000 - 120,000

Full time

4 days ago
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Job summary

Jazz Basketball Investors LLC in Salt Lake City is seeking a data scientist to build and maintain models predicting basketball outcomes and informing decisions across Basketball Operations. Remote candidates are welcome; start is targeted for Summer 2027.

The role interfaces with scouting, coaching, analytics and sports science teams, emphasizes robust coding practices and clear documentation, and requires 2+ years in modeling with Python or R.

Qualifications

  • 2+ years of experience analyzing data and training statistical models using Python or R.
  • Familiarity with basketball data and analytics techniques.
  • 1+ years of experience with data visualization.
  • Proficient in statistics fundamentals and predictive modeling techniques.
  • A desire to work in a startup‑like environment with design decision empowerment.
  • Strong record of writing clean, well‑documented code.
  • Soon to have Bachelor’s or graduate degree in statistics, data science, math or equivalent.
  • Enthusiasm for basketball.
  • Nice to have experience with SQL, MLOps, and data engineering.

Responsibilities

  • Develop and maintain models to better predict basketball outcomes and support decision-making.
  • Perform ad hoc data analysis for basketball decision-makers.
  • Interface with Basketball Operations teams to understand needs and deliver solutions.
  • Identify and implement new models, data sources, and analytics techniques.
  • Help maintain and test datasets used for analysis.
  • Maintain coding standards with tests and documentation.

Skills

Python
R
Data Visualization

Education

Bachelor’s or graduate degree in statistics, data science, math or equivalent experience

Tools

SQL
MLOps
Data Engineering

Job description

Jazz Basketball Investors LLC in Salt Lake City is seeking a data scientist to build and maintain models predicting basketball outcomes and informing decisions across Basketball Operations. Remote candidates are welcome; start is targeted for Summer 2027.

The role interfaces with scouting, coaching, analytics and sports science teams, emphasizes robust coding practices and clear documentation, and requires 2+ years in modeling with Python or R.

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