J'ai postulé via la recommandation d'un employé. Le processus a pris 2 semaines. J'ai passé un entretien chez Meta (Seattle, WA) en nov. 2019
Entretien
Good: Recruiter gives you a lot of material to prepare for the interview (such as SQL).
Bad: The interviewer is incompetent as a senior data scientist. Seems like they ask questions from a question bank and only look for the exact solutions to the way that they know how to solve it. My solution was correct (and more efficient than the recruiters'), but she kept emphasizing on answering it the way that she knew.
Questions d'entretien [1]
Question 1
SQL questions with aggregate functions and involving two tables/subqueries/pivoting data
J'ai passé un entretien chez Meta (Menlo Park, CA)
Entretien
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
Questions d'entretien [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
J'ai postulé en ligne. Le processus a pris 6 mois. J'ai passé un entretien chez Meta
Entretien
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