Data Scientist 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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I applied through a recruiter. The process took 1 day. I interviewed at Meta (New York, NY) in Apr 2018
Interview
The interview process was well structured. It followed exactly as recruiter explained in the email (and as mentioned on glassdoor).
There was one SQL question and one product sense question. I was able to complete the SQL question (could have done it faster), but didn't provide a clear, convincing answer for the product question
Interview questions [1]
Question 1
SQL question:
given a table of interaction between users (user_a | user_b | day), find number of users who had more than 5 interactions yesterday (assume there is only one unique interaction between a pair of users per day).
Product Question:
A user satisfaction survey was conducted for two groups of facebook users (each with 50 k sample size).
Group1: who had enabled certain login security features
Group 2: who had not enabled these security features.
It was found that user satisfaction with group1 was 30% lower than with group 2. Why do you think so? Comment on how the survey was conducted?
I applied through a recruiter. The process took 3 weeks. I interviewed at Meta (Tel Aviv) in Apr 2018
Interview
The interview was online. The interviewer was nice and told me about his background and previous positions. He tried to help especially with SQL question. Asked SQL related and product sense questions. Also there is a possibility to ask about his job at Facebook
Interview questions [1]
Question 1
1. SQL Aggregation question on table
2. How would you check group health
Recruiter contacted me out of the blue on LinkedIn, set up a quick chat on the phone. He proceeded to ask basic stats questions which I was totally unprepared for unfortunately.
Interview questions [2]
Question 1
Facebook has personal information such as gender and height. If I were to make a claim that men were taller than women, how would you go about proving/disproving this claim?