BUDS Assistant Facilitator

Position Details

$20.00/hr

28 hrs/wk

Application closed

Check back for Fall 2021 opportunities!

If you have any questions about the application, please email ds-teams@berkeley.edu.

Job Description

The Division of Computing, Data Science, and Society is looking for assistant facilitators to assist with the BUDS (Berkeley Unboxing Data Science) summer program. BUDS offers a unique internship experience for Bay Area high school students from minoritized populations. In this five week program, BUDS interns work with computational approaches that range from simple summaries to more sophisticated modeling. While learning these approaches, these interns apply their skills to data sets from the fields of health statistics, social media, robotics, and earth science. Interns also learn how to create compelling presentations using data visualizations and data stories.

Position Details
  • Duration: 6.5 weeks from Monday, June 14th, 2021 to Wednesday, July 21st, 2021; this includes a week of pre-programming planning and three days of program wrap up.
  • Program hours: Noon to 5 p.m., Monday - Thursday
  • Work hours during program duration: 28 hours weekly, including 8 hours for preparation and staff meetings
Responsibilities

  • Attending all BUDS programming including the workshops and seminars with external speakers 

  • Participating in program planning hours

  • Working as a small group facilitator for 4-6 high school interns

  • Facilitating intern engagement during larger sessions

  • Facilitating the interns’ execution of Data 8 level projects; this will include mentoring interns in their group project presentations
Qualifications

  • Excellent performance in Data 8

  • Teaching experience in Data Science

  • Experience in shaping inclusive learning environment
Bonus Qualifications
  • Bonus: Excellent performance in CS 61A & Data 100

We are a proud equal opportunity employer and encourage applications from people with diverse backgrounds and belonging to groups under-represented in STEM, including women and historically underrepresented minorities.