It was an off campus drive. First there was a mock interview then the first round consisting of two interviews. In the interview they asked for some general questions on statistics and situation based question about survey and biasness caused by problems in survey. In the second interview it was about my project on ML and some time series questions.
Interview questions [1]
Question 1
if individual mean of two groups is rising, is it possible that pooled mean will decrease? if yes, then how?
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