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
The Interview Process is very structured -
First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer)
- 2 SQL Questions ( Medium to Hard ) - based on Joins
Full Loop - 4 rounds 45 mins each.
- SQL
- Behavioral
- Analytical Execution - stats & prob, A/B testing, case study
- Analytical Reasoning - Case study
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
I applied online. The process took 6 months. I interviewed at Meta
Interview
Completed 3 rounds of the process, which includes the initial recruiter screen, technical, full loop, and team matching.
Couldn't move past the full loop interview. The interview was very engaging, and I actually enjoyed working through the cases. No crazy questions.
It's all organized. Be prepared to showcase your depth of thinking. Two analytical rounds will make you think on your ability to solve probability and experimentation problems. Have a structure for everything