Student Opportunities

Check out the latest internships, job postings, competitions, and recruiting events available for data science students!

Jobs and Internships

Berkeley Center for Health Technology / BCHT: Student Assistant needed, Spring 2019

The Berkeley Center for Health Technology (BCHT) promotes the efficiency and effectiveness of health care through research and education on insurance coverage, payment reform, and the appropriate use of medical technologies. BCHT is seeking a research assistant to work on a data storage system conversion moving data from UC Berkeley to Amazon Web Services (AWS), as well as a variety of initiatives in statistical modeling and data engineering/infrastructure. This is an excellent opportunity for a motivated undergraduate student to gain experience in data science with a prestigious research institute working in timely issues around payment reform and public health policy.

Time commitment: Flexible, in general the assistant will work ~10 hours/wk, for Spring semester 2019.

Start Date: 1/22/2019

Qualifications: Ideal candidates are seeking an undergraduate degree in Public Health, Data Science, Computer Science, Statistics, or a related field, and have skills in computer systems administration and data conversions including preferred experience with AWS. Required competencies in Stata or R. Preferred competency in SQL is also desired to clean and prepare data for analysis, run econometric models, and create tables/figures. An ability to follow both detailed and open-ended instructions while working independently are also a must.

This position accepts those with and without work-study awards. Please email with any additional questions.

Please submit a resume and answers to the following questions in your application materials to Christopher Whaley,

  • Briefly describe your expertise/experience so far in computing
  • Briefly describe your expertise/experience so far in Data Science
  • What are you passionate about and why? Why would you want to work as a Public Health Data Scientist? 

Microsoft: Looking for Artificial Intelligence Development Accelerator Program Candidates

Located at the Microsoft New England Research and Development Center (NERD), the Microsoft Artificial Intelligence Development Accelerator Program (MAIDAP) is hiring graduates from BS, MS, and PhD programs. Over the course of two years, participants will partner closely with engineering teams across Microsoft to solve some of our most challenging problems. In addition, you will have mentors and access to numerous AI researchers and engineers across the company. After the program is complete, each participant will have the opportunity to work in one of our businesses in New England or another Microsoft location.

Now hiring 32 recent graduates with a PhD /MS/BS degree in Electrical Engineering, Computer Science, Data Science, Statistics or other relevant fields, for our 2019 Cohort.

Apply Online:

Typical sequence: campus/phone screen, 0.5/1 day of onsite interviews

Data Science: AI breadth and depth; hands-on experience
Software Engineers: Awesome coding, AI knowledge/curiosity

Work for the Division of Data Sciences

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.

We are now recruiting for openings on our student teams!

How To Apply

Please submit your application on the Google form linked below (click "Apply Now!"). Applications are due by 11:59 PM on Friday, November 30th, 2018. 

Note: You may apply for positions on multiple teams and programs (for example, you can apply to the Internal Operations team and the Discovery Research Program), but after the entire recruitment process, if you are offered multiple positions, you may only accept one position. 


The Data Science Student Teams support the crucial functions of the Division of Data Sciences, including developing the branding and marketing platform of the organization, managing the initiatives that draw all of our student programs together, and creating and maintaining a sense of data science community amongst the broader campus 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. Click on "Learn More" to read about the positions open for recruitment! 

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Coming Soon! We will make an announcement on the Data 001 Piazza once the Discovery Application is ready. 

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

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The Data Science Education Program (DSEP) Student Teams includes the Curriculum Developers, the Connector Assistants, the Peer Consultants, and the Analytics Team. DSEP teams work closely with faculty to create open-source materials for lectures, labs, and homework, or provide services to the broader campus community by consulting on research projects, or analyze student experience data to make informed decisions that will shape courses and programs across campus. Hone your skills as a data scientist and build a portfolio while making an educational impact across campus! 

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peer advising

The Peer Advising Program is not recruiting for the Spring 2019 semester. 

The Data Science Peer Advising program will provide in-person academic advising to students interested in pursuing the L&S Data Science major. Peer Advisors will interact with students of all ages and interests, 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. 

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