Develop and maintain models to predict basketball outcomes and facilitate decision-making across Basketball Operations.
Perform ad hoc data analyses to help basketball decision-makers.
Collaborate with scouting, coaching, analytics, and sports science teams to understand and meet their needs.
Identify, research, and implement opportunities for new models, data sources, and analytics techniques.
Maintain and test datasets used for analysis.

Ключевые требования

Develop and maintain models to predict basketball outcomes and facilitate decision-making across Basketball Operations.
Perform ad hoc data analyses to help basketball decision-makers.
Collaborate with scouting, coaching, analytics, and sports science teams to understand and meet their needs.
Identify, research, and implement opportunities for new models, data sources, and analytics techniques.
Maintain and test datasets used for analysis.

Вакансии в Utah Jazz

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

Вакансии в Utah Jazz

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

About the role

Overview: The Utah Jazz are seeking a Basketball Data Scientist to develop and maintain models that inform basketball decision-making across Basketball Operations. Applicants should be completing their studies in Spring 2027, with a targeted start date in Summer 2027. The team is based in Salt Lake City, Utah, but remote candidates are welcome.

Responsibilities

Qualifications:

Develop and maintain models to predict basketball outcomes and facilitate decision-making across Basketball Operations.
Perform ad hoc data analyses to help basketball decision-makers.
Collaborate with scouting, coaching, analytics, and sports science teams to understand and meet their needs.
Identify, research, and implement opportunities for new models, data sources, and analytics techniques.
Maintain and test datasets used for analysis.
Uphold software development best practices including tests, documentation, and coding standards.
Represent the Utah Jazz values: transparent, all in, community oriented, one team, scrappy.
Accept other duties as assigned.
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.
Strong grounding in statistics and familiarity with state-of-the-art predictive modeling techniques.
Desire to work in a startup-like environment where you can make design decisions.
Proven track record of writing clean, well-documented code.
Soon to have a Bachelor's or graduate degree in statistics,

About the role

Overview: The Utah Jazz are seeking a Basketball Data Scientist to develop and maintain models that inform basketball decision-making across Basketball Operations. Applicants should be completing their studies in Spring 2027, with a targeted start date in Summer 2027. The team is based in Salt Lake City, Utah, but remote candidates are welcome.

Responsibilities

Qualifications:

Develop and maintain models to predict basketball outcomes and facilitate decision-making across Basketball Operations.
Perform ad hoc data analyses to help basketball decision-makers.
Collaborate with scouting, coaching, analytics, and sports science teams to understand and meet their needs.
Identify, research, and implement opportunities for new models, data sources, and analytics techniques.
Maintain and test datasets used for analysis.
Uphold software development best practices including tests, documentation, and coding standards.
Represent the Utah Jazz values: transparent, all in, community oriented, one team, scrappy.
Accept other duties as assigned.
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.
Strong grounding in statistics and familiarity with state-of-the-art predictive modeling techniques.
Desire to work in a startup-like environment where you can make design decisions.
Proven track record of writing clean, well-documented code.
Soon to have a Bachelor's or graduate degree in statistics,