I applied through a recruiter. The process took 2 months. I interviewed at LinkedIn (Sunnyvale, CA) in May 2018
Interview
I had 2 technical phone interview and one on-site at their HQ. LinkedIn is a big company but the recruiting process is very disorganized. They have the worst recruiters I have ever worked with. Multiple rescheduling and they easily don't give you a call at the scheduled time. They need a big overhaul in their recruiting team.
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
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
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.
