Fall 2026 Application Timeline

Applications are open and due on 9/3 at NOON!
Coffee chats can be found at the bottom of this page!

Apply Now
  • Tabling on Sproul

    Wednesday 8/26 - Thursday 9/3
    Sproul

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

  • Coffee Chats Open

    Wednesday 8/26
    saas.berkeley.edu/recruitment

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

    *Max 3 per applicant

  • Application Opens

    Friday 8/28 12AM PT
    tinyurl.com/saas-fa26-app

    Our application opens! You can only apply to 1 committee.

  • Data Bytes

    Friday 8/28 8-10 pm
    Hearst Field Annex A1

    Curious about the data science community at Berkeley?
    Join us at Data Bytes, a joint club infosession for all data science clubs!

    Enjoy the presentations over some snacks and meet our members!

  • Clubs & Cookies

    Friday 8/28 8-10pm
    Dwinelle 155

    Meet SAAS alongside other student orgs over cookies at this joint club fair!

  • Women's Night

    Monday 8/31 8-10pm
    Wheeler 202

    Come meet the inspiring women of SAAS!

  • Infosession #1

    Tuesday 9/1 8-10pm
    VLS B 2040

    Learn more about our 5 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 9/2 8-10pm
    Hearst Field Annex A1

    Learn more about our 5 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.

  • Applications Due

    Thursday 9/3 12pm PT

    The application closes on Thursday 9/3 @ 12pm PT.

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

    You can only apply to 1 committee.

  • * Invite Only

    Technical Interview

    Saturday 9/5
    TBD

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

  • * Invite Only

    Social Night with SAASies

    Sunday 9/6
    TBD

    Get to know our SAASies in a more casual setting!

  • * Invite Only

    Behavioral Interview

    Monday 9/7
    TBD

    Final step in the interview process. Get to know leadership and share your vision for SAAS!

FAQ

▼ 

What makes SAAS different from other machine learning organizations?

  1. We offer a wide spectrum of opportunities for our members across 5 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 AI/ML.
▼ 

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.

▼ 

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 AI/ML.
The amount of experience you need depends on the specific committee you are applying to.

▼ 

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.