I applied through a recruiter. The process took 3 weeks. I interviewed at Meta (Menlo Park, CA) in Feb 2015
Interview
Interview process is long and drawn out. As expected, of course, for large tech companies these days. Unfortunately, data science interviews do not necessarily reflect the ability of applicants to do the job they are applying for, and do not reflect a normal day's work. More challenging questions about coding than would make sense for anyone with an analysis/stats background. Instead difficult questions should be focused on problem solving skills
Interview questions [1]
Question 1
Write a sorting algorithm for a numerical dataset in Python.
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
Top companies for "Compensation and Benefits" near you