I applied online. The process took 4 weeks. I interviewed at Meta (New York, NY) in Dec 2019
Interview
One phone interview, one video interview, 3 video interviews (2 coding and 1 culture fit). The coding interview was harder than expected for a data science position. It was very algorithm heavy like a CS leetcode medium question I would say.
I applied through college or university. The process took 2 weeks. I interviewed at Meta (Seattle, WA) in Jun 2019
Interview
The interviewer is very nice and patient. He gave me enough time to think about each question. The interview is based on three types of questions: SQL, Coding(R, Python, etc.), and Statistics. He allowed me to use whatever programming language that I'm comfortable with.
I applied through a recruiter. The process took 4 weeks. I interviewed at Meta
Interview
Recruiter reached out over Linkedin. One video interview followed by on site final interviews at Menlo Park.
The logistics of it all went smoothly but there were two major negative points for me:
First, the job title is very misleading. This role is a data analyst with product experience and SQL skills, nothing more technical than that. They are open about this after you've actually started the process, but they still call it data scientist because it's a more attractive title and gets more applicants.
But more importantly, during my final round, I literally couldn't understand two of my interviewers due to their broken English and thick accents. Spent a lot of my time and their time to throw it all away over something like this.
Interview questions [1]
Question 1
Mostly product analysis cases with some light data processing, nothing data science related