It went smooth but quite long. I had SQL and ML-related questions. I wish I had known about what kind of questions they would ask beforehand. I would watch mock interviews on Youtube and grab a better sense of it.
Interview questions [1]
Question 1
Q. How would yhou approach high-dimensional dataset
I applied through a recruiter. The process took 2 months. I interviewed at Meta in Nov 2020
Interview
Facebook has a long process with first recruiter screener, then phone screen, then on site with something like 6 rounds, including 3 behavioral interviews, 3 technical ones, one on data manipulation/programming, one on stats/ML and one on problem solving. In data exercises, they might provide you with raw data that needs quite a bit of cleaning, you really need to be prepared to clean character strings on the fly, which unless one already does regularly is essentially a non-starter.
Interview questions [1]
Question 1
There were many, one recurring one on the problem solving side:
- you have databases and users who access them and everyone has access to everything, need to come up with an access model that will require some access permission while not introducing too much friction
- on the stats and modeling side: Rotten tomatoes data, goal is to explore features that predict whether movie will be certified fresh or rotten by critics, data quite raw to turn into a model and iterate in 60 or 90 minutes, whatever it was
Applied online and scheduled a recruiter phone interview on July 1, 21 got rejected before filling the survey as my visa status is not very good. They encourage ed me to apply later.