Data Science applicants have rated the interview process at Meta with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 74.1% positive. This is according to Glassdoor user ratings.
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The recruiter contacted me via linkdin and set up a phone interview with one of the data scientists in facebook. It was supposed to be 45 minutes and the recruiter had already sent out a detailed email of what to expect. The interview began with a sql coding qs , followed by A/B test questions and how to track decrease/increase of metrics.
I was able to answer each one of them but the interviewer seemed hardly interested and there were no follow up questions as if he didn't find me worthy of engaging in any conversation. My overall experience was bad and I could have cleared the interview had there been a better guy with more experience and understanding of how interviews are conducted.
Interview questions [3]
Question 1
Write a sql query to find out the overall friend acceptance rate for a given date?
Table :- User_id_who_sent|User_id_to_whom|date|Action (Sent, accepted, rejected etc)
I applied through a recruiter. I interviewed at Meta (Menlo Park, CA) in Aug 2017
Interview
Don't be discouraged by all the no hires you see on glassdoor. I was really worried when I first saw the number of people who got rejected but I think there are a lot of people who got offers who are afraid to post because of the NDA.
I found the interviews fairly easy. The only prep I did was reading through glassdoor questions. (Thanks guys!) If you've ever worked with user data and SQL, you'll require minimal prep for the interview. The SQL questions were not challenging but they are very picky about syntax (i.e. missing brackets, misspelled table names) even if the general concept has already been realized.
Interview questions [2]
Question 1
What metric would you show small businesses if you were trying to have them sign up for Facebook Ads
I applied online. I interviewed at Meta (New York, NY) in Aug 2017
Interview
Technical part included writing quires in SQL (it could be other languages of my choice), product part included analyzing product metrics, a basic probability question at the end as dice or deck of cards things.
Interview questions [1]
Question 1
If you implement a new feature to FB how would you measure the success