For Google Data Scientist candidates, the Googleyness (Googleyness & Leadership) round is a scored behavioral interview that assesses how you handle ambiguity, feedback, user impact, and team collaboration. It's not a checkbox round; it can veto an otherwise strong loop.
In this guide, we break down what Google's Googleyness interview evaluates for Data Scientist roles, what interviewers filter for, and how to prep effectively.

0:00 Intro — Google's changing interview loop in 2026
0:25 About Prepfully & Google EM/Staff Engineer coaches
0:50 The 3-step Google SWE hiring process
1:05 Step 1 — Recruiter interview
1:25 Step 2 — Phone screen (NEW: DSA + Behavioral)
1:55 Phone screen coding prep & mock interview tip
2:15 Step 3 — Onsite loop overview (L3/L4/L5 leveling)
2:35 Onsite — Coding & algorithm rounds
2:55 Onsite — System design (L4 and above)
3:15 Onsite — Code review round (L5/L6/L7)
3:40 Onsite — Googliness & leadership round
3:55 4 tips to crack the full Google SWE loop
5:00 Outro — Mock interviews & resources