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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

2

Technical Phone Screen - SQL & Data Manipulation

3

Technical Phone Screen - Statistics & Probability

4

Onsite Round 1 - Statistics, Experimentation & Data Analysis

5

Onsite Round 2 - Machine Learning & Applied Modeling

6

Onsite Round 3 - Product Sense & Business Impact

7

Onsite Round 4 - Behavioral, Leadership & Collaboration

Additional Information

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