Data Scientist applicants have rated the interview process at Google with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 84% positive. To compare, the company-average is 74.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 44 days to get hired, when considering 19 user submitted interviews for this role. To compare, the hiring process at Google overall takes an average of 30 days.
Common stages of the interview process at Google as a Data Scientist according to 19 Glassdoor interviews include:
Phone interview: 17%
One on one interview: 17%
Skills test: 17%
Background check: 12%
Personality test: 12%
Presentation: 10%
IQ intelligence test: 7%
Group panel interview: 5%
Drug test: 2%
Here are the most commonly searched roles for interview reports -
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
The standard interview process starts with resume screening, followed by initial phone screening, technical and behavioral rounds, a final leadership interview, and ends with reference checks and a job offer.
In the technical round, I faced a challenging A/B testing question regarding YouTube thumbnails that pushed my analytical skills. I was also asked to discuss metrics for evaluating user engagement, which had me thinking on my feet. The behavioral section was tough, but I found the principles I studied on PracHub to be incredibly relevant. The overall experience was intense and demanding, yet I received an offer in the end. Ultimately, I decided to decline, as I felt it wasn't the right fit for my career goals.
Interview questions [1]
Question 1
Design an A/B test to evaluate the impact of a new YouTube homepage thumbnail design on user watch time. How would you choose the success metric, sample size, and handle novelty effects?