Comprehensive Interview Preparation Guide: Google Data Scientist (Junior Level)
Data Scientist
Google
Junior
7 rounds
Updated 11/22/2025
Google's data scientist interview process for junior-level candidates is structured across multiple rounds spanning 4-8 weeks. The process includes an initial recruiter screening, two technical phone screens covering SQL/Python and statistics/experimentation, and four onsite rounds (machine learning, product sense, advanced SQL, and behavioral). The interviews assess technical depth, statistical reasoning, product intuition, and cultural fit. Each round uses live coding environments, case studies, and behavioral assessments to evaluate problem-solving ability, communication skills, and alignment with Google's data-driven culture.
Interview Rounds
1
Recruiter Screening
45 min4 focus topicsculture fit
2
Technical Phone Screen 1: SQL & Python Data Analysis
60 min4 focus topicstechnical
3
Technical Phone Screen 2: Statistics & Experimentation
60 min4 focus topicstechnical
4
Onsite Round 1: Machine Learning & Applied Modeling
60 min5 focus topicstechnical
5
Onsite Round 2: Product Sense & Business Case Analysis
60 min5 focus topicscase study
6
Onsite Round 3: Advanced SQL & Complex Data Analysis
60 min4 focus topicstechnical
7
Onsite Round 4: Behavioral & Culture Fit
60 min5 focus topicsbehavioral
Additional Information