Google Data Scientist (Entry Level) Interview Preparation Guide
Data Scientist
Google
entry
6 rounds
Updated 11/22/2025
Google's Data Scientist interview process for entry-level candidates consists of a recruiter screening call followed by a technical phone screen and four onsite interview rounds. The process evaluates candidates across coding proficiency (SQL and Python), statistical knowledge, machine learning fundamentals, product thinking, and cultural alignment. All technical rounds are conducted virtually using shared code editors or on-site with whiteboards. The entire process typically spans 4-6 weeks from initial recruiter contact to final decision.
Interview Rounds
1
Recruiter Screening
25 min3 focus topicsculture fit
2
Technical Phone Screen - Coding and SQL
50 min3 focus topicstechnical
3
Onsite Round 1 - Statistics and Experimentation
50 min4 focus topicstechnical
4
Onsite Round 2 - Technical Interview (Advanced Coding)
50 min3 focus topicstechnical
5
Onsite Round 3 - Machine Learning and Applied Modeling
50 min4 focus topicstechnical
6
Onsite Round 4 - Product Sense and Behavioral
50 min5 focus topicsbehavioral
Additional Information