I applied in-person. I interviewed at Netflix in Mar 2019
Interview
The hiring manager sent me a message saying that she is really interested in my background and the current role at Netflix perfectly suits my profile. I agreed and she scheduled the phone screening round.
In the phone screening round I was asked three questions, one on coding (merge two sorted arrays), two SQL questions, and describe the steps to build a classifier. When I illustrated the steps he/she asked further questions on describing Logistic Regression in details, describe gradient descent, L1 and L2 norms, if data is sparse what happens, difference between online and batch gradient descent, word embeddings and sentence embeddings.
I thought I did fairly well considering all the questions were expected from a standard data science interview. However, I got a confirmation email from the recruiter that they rejected me saying that the feedback was positive however I am not an appropriate fit for the role. When I asked for further clarification they said they have better candidates than me.
Here is my problem is that they connected me saying that I am proper fit. My interview went well and now they say I am not a fit. So, I was a bit surprise and it also tells me not trust such hiring managers who have conflicting opinions.
Interview questions [1]
Question 1
Write equations for building a classifier using Logistic Regression
I applied through a recruiter. The process took 1 week. I interviewed at Netflix (Los Gatos, CA) in Aug 2022
Interview
Recruiter call followed by a technical screen - thiry minutes conversation on metrics and tradeoffs of primary, secondary, guardrail metrics in a causal inference/experimentation setting.
Interviewer was friendly and excellent.
Interview questions [1]
Question 1
Q: Write a method in Python to return the confidence intervals around a mean?
Q: Using SQL return the number of new netflix members in the last 7 days
I applied through a recruiter. I interviewed at Netflix in Apr 2021
Interview
Similar to the other posts on no communications. Hiring manager interview asking behavioral questions only. Ended with a super positive note but not any single communication ever since. It's funny because their culture says "extraordinarily candid" and stuff related to giving direct feedbacks but I guess that does not include candidates being interviewed.
Interview questions [1]
Question 1
Normal behavioral questions you'd get elsewhere, what are you looking for, what's your work style, tell me a time you had to disagree with someone
I applied through a recruiter. I interviewed at Netflix in Feb 2021
Interview
Interviewed for the Member UI team (product analytics+experimentation). Recruiter chat, followed by Hiring Manager phone screen, then technical phone screen. Virtual onsite #1 had 4 segments: recruiter again, presentation of a take home to 2 data scientists, sql+stats with a data scientist and HM again. finally there's virtual onsite #2 which I did not get to.
I had a positive experience with all the segments except the presentation, which was neutral-to-negative. interviewers were the type who try and figure out how much you don't know rather than how much you do know. towards the end, we were discussing their work experience and one of the interviewers says he had a difficult time during his first few months because a lot is expected. He goes on, "I'm not trying to scare you, but...." That was when I knew I had failed the interview. He obviously didn't think much of me. Wonder what it's like if you work with this guy and happen to not know something. That's probably when the scaring starts. It's true that he has a lot more experience than me but that really left a sour taste. I do not recommend the Member UI team for this reason.
Interview questions [1]
Question 1
A fair bit of statistics in the context of A/B testing... variance, bootstrap, adjusting for covariates, heterogeneous treatment effects.
SQL was not too difficult.
Take home was product analytics and experimentation. You are expected to come up with novel metrics. Be prepared to answer questions about ambiguous results, interactions, etc.