# Google Data Scientist Interview Experiences Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/guides/google-data-scientist-interview/experiences Source observed: 2026-11-04T22:02:51.812Z Last checked: 2026-11-04T22:02:51.812+00:00 Indexed: 2026-11-05T05:24:19.164+00:00 --- # Google Data Scientist Interview Experiences We collect real interview experiences from candidates who have gone through Google's Data Scientist interview process. This page was updated a month ago by Google candidates. It contains 3 interview experiences, 56 interview questions, and 21 resumes. - [Expert guide](https://www.aced.io/guides/google-data-scientist-interview) - [Interview experiences](https://www.aced.io/guides/google-data-scientist-interview/experiences) - [Questions](https://www.aced.io/guides/google-data-scientist-interview/questions) - [Resumes](https://www.aced.io/guides/google-data-scientist-interview/resumes) Share your own experience through [Share your experience](https://www.aced.io/questions/contribute?src=guide). ## Product Data Scientist (L5) [Read the full experience](https://www.aced.io/experiences/google-senior-data-scientist-interview-190f70?returnPath=%2Fguides%2Fgoogle-data-scientist-interview%2Fexperiences) **Google · Senior / L5 · United States** Submitted Apr 13, 2026 · Verified · December 2025 · Moderate The candidate already had a referral and was in contact with a recruiter from a previous process, so the first loop moved unusually smoothly and the technical screen was skipped. The product loop followed a more standard sequence: 1. Recruiter conversation. 2. Technical screen covering SQL and schema design. 3. Three-round onsite covering stats/modeling, experimentation/applied analysis, and Googliness. The two analytical onsite rounds overlapped substantially. The statistics round involved more trivia and mechanics than the candidate expected. The experimentation round was close to standard A/B-testing frameworks, with some causal inference. Interviewers were described as friendly and conversational, and the candidate finished the final onsite in mid-December. **Questions asked:** - [Tell me about a time when you were more proactive than others.](https://www.aced.io/questions/3153) - [What are the z-tests and t-tests?](https://www.aced.io/questions/5361) - [Tell me about a time when you were forced to prioritize multiple projects.](https://www.aced.io/questions/5472) - [9 more questions](https://www.aced.io/experiences/google-senior-data-scientist-interview-190f70?returnPath=%2Fguides%2Fgoogle-data-scientist-interview%2Fexperiences) ## Data Scientist The candidate was first contacted by a recruiter for a business Data Scientist position and had a brief screen. The recruiter explained the rounds and what each covered, and later helped review feedback from each round. The process consisted of approximately 5–6 rounds, mostly case-study and statistics focused, with very little machine-learning depth. **Questions asked:** - Is KNN supervised or unsupervised? - What metrics should be used when evaluating a model? - Case studies - 1 more question ## Data Scientist The candidate began with recruiter screening and light technical questions, followed by several rounds. The process involved very light coding and focused mainly on case studies, statistics knowledge, and theory or application. **Questions asked:** - What is the best way to connect SQL databases and why? - Calculate Test Scores ## Access to all experiences We provide trial access when you share your own interview experience. 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