Institutional Research and Analytics - Student Assistant

CSUSB•San Bernardino, CA

4d•Onsite

About The Position

The Office of Institutional Research & Analytics is seeking a graduate student to assist in a project aimed at empowering campus stakeholders with advanced AI/LLM technologies. The ideal student will have basic experience in programming skills, AI/LLM models, and data analysis and visualization. Responsibilities include but not limited to, assist with data preprocessing, model development, interface design, and system deployment. Assist with evaluating and providing recommendations on new, current and planned database extractions, analyzing data and building reports/dashboards in support of educational effectiveness.

Requirements

Ability to learn and perform assigned work; follow oral instructions; work cooperatively with faculty, staff, and other students; communicate effectively with all levels; and read and write English at a level appropriate to the position.
Admission or registration as a CSU student.
Maintain a 2.0 G.P.A. or greater per semester and cumulative.
Students must be enrolled in at least halftime units at CSUSB (6 units undergraduate; 3 units graduate)
International students must have full-time enrollment at CSUSB. (12 units undergraduate; 6 units graduate)
Eligible to work in the United States
Payroll Requirement: Social Security Card

Nice To Haves

Maintain a 2.5 G.P.A. or greater per semester and cumulative
Must be able to work at least 2-3 days out of the work week (Monday - Friday)
Basic to intermediate proficiency in Python, essential for tasks involving data manipulation and analysis.
Interest in AI/ML models, with exposure to or a desire to engage deeply with data analysis techniques, particularly those that involve AI applications.
Demonstrated interest or experience in developing web-based applications, showing a capability to contribute to technical aspects of the project.
Participation in relevant coursework or projects.
Experience with data analysis or related internships.
Exposure to machine learning or AI projects (academic or personal).

Responsibilities

Assist in project(s) aimed at empowering campus stakeholders with advanced AI/LLM technologies.
Data preprocessing, model development, interface design, and system deployment.
Evaluating and implementing recommendations on new, current and planned database extractions, analyzing data and building reports/dashboards in support of educational effectiveness.