Data Science Associate, Sports Analytics (On-Campus)

University of Notre Dame

Notre Dame (IN)

On-site

USD 54,000 - 66,000

Full time

14 days+

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Job summary

The University of Notre Dame is seeking a Data Science Associate to enhance the success of student-athletes through data-driven insights. This role focuses on analytics, collaboration with sports performance staff, and implementing innovative solutions that improve team performance.

Ideal candidates will have a Bachelor's degree in data science, proficiency in programming, and knowledge of NCAA rules. The position offers an exciting opportunity to work at the intersection of data engineering and athletics performance, with potential salary up to $60,000.

Qualifications

  • Bachelor’s degree in a data science or related field; graduate-level training preferred.
  • Highly proficient with multiple data systems and programming languages.
  • Must have knowledge of NCAA rules and regulations.

Responsibilities

  • Analyze, process, and visualize data to support decision-making across sports performance.
  • Collaborate with coaches, analysts, and performance staff to develop insights.
  • Lead and support internal research projects for competitive advantage.

Skills

Data analysis and visualization
Programming languages proficiency
Strong organizational skills
Communication skills
Knowledge of NCAA rules

Education

Bachelor's degree in data science or related field

Tools

Data systems

Job description

The University of Notre Dame is seeking a Data Science Associate to enhance the success of student-athletes through data-driven insights. This role focuses on analytics, collaboration with sports performance staff, and implementing innovative solutions that improve team performance.

Ideal candidates will have a Bachelor's degree in data science, proficiency in programming, and knowledge of NCAA rules. The position offers an exciting opportunity to work at the intersection of data engineering and athletics performance, with potential salary up to $60,000.

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