Data Scientist applicants have rated the interview process at Google with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 56% positive. To compare, the company-average is 61.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 36 days to get hired, when considering 141 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 38 days.
Common stages of the interview process at Google as a Data Scientist according to 141 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 18%
Presentation: 13%
Skills test: 13%
Background check: 5%
Personality test: 5%
IQ intelligence test: 5%
Group panel interview: 4%
Drug test: 4%
Other: 3%
Here are the most commonly searched roles for interview reports -
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
I applied online. I interviewed at Google
Interview
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
lot of rounds, pretty easy internal process, more behavioral than technical. would recommend trying to do it via internal transfers vs external. would recommend knowing which team you're going to interview for within data science vs just the broad function