Athletics Data Science & AI Fellow

Mississippi State University is hiring an Athletics Data Science & AI Fellow. The role involves supporting daily functions of the Athletic Data Science & AI Lab by assisting with data analysis, reporting, project coordination, documentation, and contributing to departmental decision-making and strategic initiatives.

• Assist with collecting, organizing, reviewing, and maintaining athletic data to support department projects.
• Support data analysis projects by identifying trends and insights under supervision.
• Maintain data integrity, confidentiality, and security in compliance with university, NCAA, and SEC regulations.
• Coordinate project timelines, meetings, and deliverables for lab initiatives.
• Provide basic support on data science, analytics, and AI-related questions to athletic personnel.
• Required skills include knowledge of Python, R, SQL, data visualization tools like Tableau or Power BI, and basic statistical analysis or machine learning concepts.
• Minimum qualification is a bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, Sport Management, or a related field.
• Experience with sports analytics, data analysis, or research lab environments is preferred.
• Assist with administrative tasks including documentation, project tracking, and onboarding student workers.
• Work performed primarily in an office environment with minimal physical effort.