Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 5 settimane. Ho sostenuto un colloquio presso Meta nel mese di apr 2022
Colloquio
Low offer:
Their final offer is 50-60K lower than what I was told originally. So the business is definitely struggling.
Inappropriate conduct with candidates:
One of the interviewers spent 10 minutes pressing me on a question about a subtraction function(A,B). It's either A-B or B-A. I didn't remember, so I said we could look at the documentation. After not getting the answer for a couple minutes, this person got frustrated and yelled at me "I'm the documentation. I'm telling you that..." I was shocked that an interviewer could behave this way.
Variable skills among interviewers:
There are definitely strong technical people, but the data scientists' skills vary greatly. One was struggling to understand how AVG(CASE WHEN ....THEN 1 ELSE 0 END) could calculate the % of certain condition. I was in disbelief.
Ho sostenuto un colloquio presso Meta (Menlo Park, CA)
Colloquio
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
Domande di colloquio [1]
Domanda 1
Questions on Bayes Theorem, Probability distribution, etc.
Ho presentato la mia candidatura online. La procedura ha richiesto 6 mesi. Ho sostenuto un colloquio presso Meta
Colloquio
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
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