Data Science applicants have rated the interview process at Google with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 66.4% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
1 round of recruiter phone screen
4 rounds of technical interviews
Covering the following areas:
SQL: Focused on data querying, data manipulation, and optimization skills.
A/B Testing: Assessing your ability to design experiments, perform statistical analysis, and interpret results.
Modeling: Evaluating your knowledge and practical skills in machine learning or statistical modeling (e.g., feature engineering, model selection, performance evaluation).
1 round of Googliness & Leadership interview
The recruiters at Google do a great job explaining the entire interview process, and provide a handbook with details on preparation materials. The interviews themselves are technical but very conversational/interactive in nature.
Interview questions [1]
Question 1
They ask you various statistics related questions e.g. hypothesis testing, experimental design etc.
Multiple rounds. Coding mostly focused on data frame manipulation. Challenging stats questions. Behavioural interview as usual. Also started with a phone screen based on simpler stats questions. Behavioural interview was more about my past projects and working experience. Generally a very positive experience.
Interview questions [1]
Question 1
Given a 1 point sample design a test to check is the mean is 1 or not