Institutional Research and Analytics - Student Assistant

California State University, San Bernardino•San Bernardino, CA

1d•Onsite

About The Position

The Office of Institutional Research & Analytics is seeking an undergraduate student assistant to support projects focused on leveraging AI and machine learning, including LLM, to analyze survey data. The ideal candidate will have basic to intermediate Python skills for data analysis and a strong interest in developing AI/ML models. Experience in web application development and a background in data analysis through coursework or projects are required. Key responsibilities include applying AI techniques to data sets, enhancing web interfaces, and actively participating in a dynamic, innovative team environment.

Requirements

Ability to learn and perform assigned work; follow oral instructions; work cooperatively with faculty, staff, aand 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.
As a Bridge Student Assistant, the student need not be registered as a student, but must have been enrolled as a CSU student the previous term and is registered for the following term.
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
Social Security Card

Nice To Haves

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.
Basic experience with data analysis or related internships.
Exposure to machine learning or AI projects (academic or personal).

Responsibilities

Support projects focused on leveraging AI and machine learning, including LLM, to analyze survey data.
Applying AI techniques to data sets, enhancing web interfaces, and actively participating in a dynamic, innovative team environment.
Other duties as assigned.