I applied through a recruiter. The process took 2 weeks. I interviewed at Google (Mountain View, CA) in Nov 2017
Interview
Two online assessment and an onsite interview with five data scientists. You also got a chance to talk with their team leaders about what they are doing and how they think about the future of data science.
Interview questions [1]
Question 1
Derive the Gaussian discrimination method under three different cases. Robust linear regression. Bayesian probability calculation. Random Markov Field. RNN.
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?
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
Google Data Scientist Interview Questions | Glassdoor