Data Scientist I applicants have rated the interview process at Google with 4.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 71.6% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. The process took 1 week. I interviewed at Google in Sep 2021
Interview
Applied on the portal and the recruiter called back after 1 month. Explained the whole process, it consists of 1+5 interviews with every interview focusing on a different aspects of data science
Interview questions [1]
Question 1
Standard error of median, interpret standard error of the mean, how to generate a matrix that follows Bernoulli distribution in python, divide each element of the matrix with sum of columns
The interview process is very easy just the candidate need to be focused about what he/she wants to do with the career in google. The questions are asked in the interview are very very easy.
I applied through an employee referral. I interviewed at Google (Mumbai) in Jan 2020
Interview
It was very unique experience which may happen in FAANG and they want to understand your way of thinking and problem solving skills.
I think if you know mathematics behind all concepts then you are good to go.
Interview questions [1]
Question 1
General Statistics
In what situation would you consider mean over median?
For sample size n, the margin of error is 3. How many more samples do we need to make the margin of error 0.3?
What is the assumption of error in linear regression? (Solution)
Given data from two product campaigns, how could you do an A/B test if we see a 3% increase for one product?
Statistical Probability
I have a deck and take one card at random. What is the probability you guess it right?
Explain a probability distribution that is not normal and how to apply that.
Given uniform distributions X and Y and the mean 0 and standard deviation 1 for both, what’s the probability of 2X > Y? (Solution)
There are four people in an elevator and four floors in a building. What’s the probability that each person gets off on a different floor?
Make an unfair coin fair. (Solution)
Machine Learning
If the labels are known in a clustering project, how would you evaluate the performance of the model?
Why use feature selection? (Solution)
If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?
What is the difference between K-mean and EM?
When using a Gaussian mixture model, how do you know it is applicable?