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Google Data Scientist Interview
Questions & Process

What 133 candidates said about the rounds, the
questions and how long the wait really is.

From 133 candidate reports · FREE TO READ

2.2Rounds average
40.2Day average
DifficultTypical difficulty
63.9%Positive experience

Questions candidates reported

Quoted word for word from Google interview reports.

Engineering accounts for 10,860 of 133 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

When given an open-ended data science problem, how would you approach it from a practical perspective?

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Formats, difficulty and experience

Across all 133 Google interview reports.

Question formats

Technical31.9%
Behavioral30.6%
Coding14%
Other12.4%
Case8.1%

Interview difficulty

Easy8.3%
Average39.1%
Difficult52.6%

Candidate experience

Positive63.9%
Negative7.5%
Neutral28.6%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

The recruiter reached out to me and fixed a date. Then I got an information email from the HR team. On the interview day, the interviewer connected with me on Google Meet and we used Google Docs to communicate during the interview.Candidate-reported process
The interview process has two rounds. The first round has coding questions and some basic statistics knowledge. The second round is team matching, which is not technical and more like a simple conversation.Candidate-reported process
first a general technical interview. Then, they do team matches. You might talk with many teams as long as you pass the first one. If there is a good team match, then you get the offer.Candidate-reported process
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