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.
Highlights
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.