I applied online. I interviewed at LinkedIn (San Francisco, CA) in Oct 2013
Interview
First contact was on Oct 23rd via email from a technical recruiter and we scheduled a phone call for next day. She talked about positions available at the moment asked what would interest me the most. After I picked one area she scheduled first phone screen on Oct 25th.
First phone screen was with a Sr. Data Scientist, she made a very good introduction of the project on which she works. I was asked what projects I worked on before and what am looking for now. Than a few simple questions related to data science.
Second phone screen was a coding interview and was scheduled for the Nov 1st and they used collabedit.com to code. The problem was interesting and after some discussion and hints I was able to verbalize the most efficient solution and then proceeded to coding it in C. It took some discussion and time before I got it and the interviewer at no time was trying to fail me, he was very helpful and treated me super nicely.
Couple days later they informed me that I passed and scheduled on site interview for Nov 7th. On site I had 5 interviews 45min each, two data scientists, one product manager, one coding (simple SQL), one lunch interview with the hiring team member. All questions are reasonable, no brain teasers or tricky questions, no one is trying to fail you and people are genuinely super nice. After that I had couple more meetings with engineering team members. Overall it took almost the entire day. Two days later I was told that they would like to make me an offer and gave me all the details.
I was on a tough schedule because I had another pending offer and LinkedIn HR pulled out a little miracle to make all the process super smooth and fast. It took 2 weeks from the first contact to the offer stage, and this is not an easy thing to do trust me!!! They handle all the logistics, all you need to think about is just to concentrate on the interviews itself.
Overall, LinkedIn interview process is as good as it possibly gets and they pay really good money so it is for sure worth fighting for.
Interview questions [1]
Question 1
They are really reasonable about questions. Just explain clearly what you have done before, the questions that they have a open ended discussions. If you can talk on a subject matter and give a few angles on a problem that is all they are looking for.
I applied online, got contacted for a 30-min HR screen call, then proceeded to a 1-hour Technical screen round. All the interviewers are very nice and professional. I did not pass the Technical round, because the role has much higher technical requirements than my skillsets. Technical screen includes 50% Python coding a Leetcode medium problem, 25% stats/experiment questions, 25% general ML questions. HR followed up with results in a personalized email and encouraged to reapply in the future.
Interview questions [1]
Question 1
Experiment design question related to Simpson paradox
What are some ways to deal with class imbalance? pros and cons for each
Very clear and straight forward, but maybe a bit too broad. Would be better to be more focused on the area of expertise. Coding questions don't really make much sense for data scientists anymore, basic level yes but not hard coding questions.
I applied online. The process took 3 weeks. I interviewed at LinkedIn in Mar 2022
Interview
Phone screen + Onsite
Onsite has 5 rounds
HM
SQL + PYTHON
Data storytelling
Math
Case (Problem Solving + A/B testing)
The interview process going fluently and all interviewers show their professional. They are giving you positive feedbacks while your interviewing and encourage you to think more broadly. I feel they even want me to be in the company more than myself.
Didn't pass data storytelling round, all other rounds has a strong yes.
Interview questions [1]
Question 1
Stats/Prob+Linear regression+data story telling+A/B Testing+SQL/Python+Problem Solving case