Student Opportunities

Student teams and interns are instrumental in driving the efforts of the Division forward. These students work directly with faculty to create new data science content for courses across campus. They analyze student surveys and course enrollment data and derive conclusions that help shape the future of these programs. They write blog posts, create social media followings, produce videos, and serve as ambassadors of our program everywhere they go. The students are the heart of our program!

General Information

Please scroll down to learn about each student team and to find descriptions of each position open for recruitment for the Fall 2019 cycle. Please carefully read the position descriptions before applying. 

You may apply to multiple teams, but if you are offered a position on multiple teams you may only select one. If you have any questions or concerns, please email ds-teams@berkeley.edu

Deadline

All applications will close on August 23rd, 2019 at 11:59pm. Applications will be reviewed on a rolling basis so apply early! 

Student Teams:

Operations

calday 2019

The Internal Operations interns support the crucial functions of the Division by developing our branding and marketing platform, managing the initiatives that draw all of our student programs together, and creating and maintaining a sense of data science community. Learn the ins-and-outs of a rapidly growing academic organization and make your mark on the largest Data Science education program in the nation. 

Please scroll down to read position descriptions before applying. 

apply now

aditya discovery showcase curriculum

DSEP teams work with faculty to create open-source materials for lectures, labs, and homework. Some analyze student experience data to make informed decisions that will shape courses and programs across campus, and some integrate issues of ethics into the Berkeley data science program and community. Hone your skills as a data scientist and build a portfolio while making an educational impact across campus! 

Please scroll down to read position descriptions before applying. 

apply now

discovery

discovery research showcase

The Discovery Research program provides opportunities for undergraduates to participate in innovative research within the Berkeley Data Science ecosystem with one of our many partner organizations - research institutions, academic departments, non-profits, start-ups, government and more. Leverage your skills in data analysis and interdisciplinary domain knowledge to contribute to cutting-edge research alongside experts in those fields.

Please scroll down to read position descriptions before applying. 

   apply now

peer advising

peer advising

The Data Science Peer Advisors provide in-person and online academic advising to students interested in pursuing the L&S Data Science major. Peer Advisors also develop info sessions and tutorials to inform intended Data Science students about enrollment and prerequisites, and have the opportunity to help improve the undergraduate experience for their peers. Peer Advisors work closely with the Data Science Advising Team and gain exposure to the ins-and-outs of a new and increasingly popular interdiscplinary major.

Please scroll down to read position descriptions before applying. 

apply now

Positions open for recruitment: 

Click on each position to learn more about the specifics of the role. The numbers in the parantheses indicate number of positions open for recruitment. 
Internal Operations Team DSEP Teams Discovery Research Program Peer Advising Program

Data Science Newsletter

Check out the latest Data Science Newsletter to learn about internships, job postings, competitions, and recruiting events available for data science students. 

To join our mailing list to receive the Data Science Newsletter, please visit https://tinyurl.com/ds-undergrads(link is external) and click "Join". 

To request to add your student opportunity, upcoming event, or data science related news to our Data Science Newsletter, please submit a response on our Newsletter Posting Google Form(link is external)