Google Data Scientist (Senior Level) Interview Preparation Guide
Data Scientist
Google
Senior
7 rounds
Updated 11/22/2025
Google's Data Scientist interview process is a rigorous, multi-stage evaluation designed to assess statistical expertise, machine learning proficiency, coding skills, and product intuition. The process consists of a recruiter screening call, technical phone screens, and multiple onsite interview rounds. Each round evaluates distinct competencies through a combination of problem-solving, live coding, system design thinking, and behavioral assessment. For Senior-level candidates, the focus intensifies on demonstrating leadership, complex problem-solving, and the ability to drive business impact through data-driven solutions.
Interview Rounds
1
Recruiter Screening
45 min5 focus topicsculture fit
2
Technical Phone Screen - SQL & Data Manipulation
60 min4 focus topicstechnical
3
Technical Phone Screen - Statistics & Probability
60 min4 focus topicstechnical
4
Onsite Round 1 - Statistics, Experimentation & Data Analysis
75 min5 focus topicstechnical
5
Onsite Round 2 - Machine Learning & Applied Modeling
75 min5 focus topicstechnical
6
Onsite Round 3 - Product Sense & Business Impact
70 min5 focus topicscase study
7
Onsite Round 4 - Behavioral, Leadership & Collaboration
60 min5 focus topicsbehavioral
Additional Information