Spring 2026 Application Timeline

Applications will open Friday 1/23! Find coffee chat information at the bottom of this page!

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01

Tabling on Sproul

Tuesday 1/20 – Thursday 1/29Sproul

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

02

Coffee Chats

Wednesday 1/21 – Thursday 1/29In-person

Have a 1-on-1 coffee chat with our directors, advisors, and executives.

03

Data Bytes

Friday 1/23 8–10 pm

A joint club infosession for all data science clubs.

04

Infosession #1

Tuesday 1/27 8–10 pmHearst Field Annex A1

Learn more about our six committees and the experiences offered this semester.

05

Infosession #2

Wednesday 1/28 8–10 pmHearst Field Annex A1

Infosession 1 and 2 cover the same content.

06

Women’s Night

Thursday 1/29 8–10 pmWheeler 222

Come meet the inspiring women of SAAS!

07

Applications Due

Friday 1/30 12 pm PSTOnline

Include a resume and statement of candidacy. You can only apply to one committee.

08

Technical Interview

Sunday 2/1Invite Only

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

09

Social Night with SAASies

Monday 2/2Invite Only

Get to know our SAASies in a more casual setting!

10

Behavioral Interview

Tuesday 2/3Invite Only

The final interview stage.

FAQ

What makes SAAS different from other machine learning/data science organizations?

SAAS combines technical development, client projects, professional development, and a close community across six different committees.

Does SAAS have a General Membership program?

No. Members join one of our committees and contribute directly to its work and community.

Do I need experience to join?

No. Data Foundations is designed for students with no prior experience, while other committees serve progressively more experienced applicants.

What is the time commitment?

Commitments vary by committee; see the committee descriptions document for detailed expectations.

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

Data Mentorship provides close guidance through a client project; Data Consulting is intended for applicants with significant prior AI/ML experience.