Applications are closed.
Check back in the Fall for more information.

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  • Tabling on Sproul

    Tuesday 1/16 - Thursday 1/25
    Sproul

    Come say hello to some SAASies and learn more about SAAS and our recruitment process.

  • Coffee Chats

    Wednesday 1/17 - Thursday 1/25
    In-person

    Have a 1-on-1 coffee chat with our directors, advisors, and executives to learn more about our SAAS experience!

    Sign ups open Wednesday 1/17.

    Get to Know Us!

  • Clubs and Cookies

    Monday 1/22 8-10pm
    TBD

    New to the tech club scene at UC Berkeley?
    Craving some yummy cookies?
    Come join us at Clubs and Cookies, an event to learn about some of the biggest tech clubs on campus!

    Get to know 10 tech clubs at Berkeley all in one (delicious) event and chat directly with current members!

  • Infosession #1

    Tuesday 1/23 8-9:30pm
    Evans 60

    Learn more about our 6 different committees and the exciting experiences and opportunities we'll be offering this semester!

    Note: Infosession 1 and 2 cover the same content so attendance at both is not necessary.

  • Infosession #2

    Wednesday 1/24 8-9:30pm
    VLSB 2050

    Learn more about our six different committees and the exciting experiences and opportunities we'll be offerring this semester!

    Note: Infosession 1 and 2 cover the same content so attendance at both is not necessary.

  • Applications Due

    Friday 1/26 12pm PST

    The application closes on Friday 1/26 @ 12pm PST.

    Please include a resume drop and statement of candidacy to help us understand your background and why you want to join SAAS.

    You can only apply to 1 committee.

    Apply

  • * Invite Only

    Technical Interview

    Sunday 1/28
    In Person

    Interview content will be based on the committee you apply to.

  • * Invite Only

    Social Night with SAASies

    Monday 1/29 7:30-9pm
    In Person

    Get to know our SAASies in a more casual setting!

  • * Invite Only

    Behavioral Interview

    Tuesday 1/30
    In Person

FAQ

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What makes SAAS different from other statistics/data science organizations?

  1. We offer a wide spectrum of opportunities for our members across 6 different committees:
    • We cover a wide range of applications of statistics and data science, including machine learning, computer vision, natural language processing, and analytics.
    • Members can explore a wide range of roles within statistics and data science, including teaching, consulting in a team, and Kaggle competitions.
    • We have non-technical committees to learn soft skills and give back to the club (Internal and External Affairs).
  2. We emphasize learning and professional development for our members through hands-on projects and workshops.
  3. We have committees for students of all experience levels.
    • The Data Foundations committee caters towards those with little/no experience.
    • The Data Consulting committee is best suited for those that have completed projects that involve data analysis.
▼ 

Does SAAS have a General Membership program?

No, we do not. This is because we believe that a General Membership program implicitly creates a hierarchy within the club, with committee members being “above” general members. We want every member to feel equally valued and active in the club.

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Do I need experience to join?

We have committees for students of all experience levels! For example, the Data Foundations committee caters towards those with little/no experience, while the Data Consulting committee is best suited for those that have completed projects that involve data analysis.
The amount of experience you need depends on the specific committee you are applying to.

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What is the time commitment?

The time commitment for each committee is at least 8-10 hours per week. The committee descriptions document contains more information on the time commitment expected for each committee!

▼ 

What’s the difference between the Data Consulting and Data Mentorship committees?

The Data Mentorship committee is more guided, as members participate in workshops taught by the directors and complete assignments to apply what they learned in workshops. The client project for Data Mentorship doesn’t start until halfway through the semester. In contrast, the primary focus of the Data Consulting teams for the semester is completing the client project.