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 59% positive. This is according to Glassdoor user ratings.
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I applied online. The process took 2 months. I interviewed at Meta (Menlo Park, CA) in Sep 2021
Interview
I had about seven or eight interviews, each of them one-on-one with an expert in some area. Each and every interviewer gave me the chance to ask my own questions. We used a videoconference system called Blue Jeans that I had not used before. My breaks between interviews were usually short.
Interview questions [1]
Question 1
They asked me questions similar to ones I had practiced beforehand on LeetCode. I needed to rather rather basic Python to answer the questions. For questions like these, the interviewers did not want me to use dataframes.
I applied through an employee referral. The process took 2 months. I interviewed at Meta (Tel Aviv-Yafo) in Nov 2021
Interview
The first interview was an HR call that asked personal questions and work experience, after that they sent a Word file with additional interview questions and analytical questions. Some of the questions were: 1. What course projects and/or experience have you gained experience in Data Analysis 2. How does a Data Science role at Facebook align with your background, skills and areas of interest? 3. Let’s say we want to figure out for any Facebook (or Instagram) user, who their best friend is so we can prioritize showing their content in the News Feed. What product signals and metrics (please max at 5) would you use to determine who a user’s best friend is? After that there is a technical interview which included a analytics question and two SQL questions. Finally there is a personal interview and probability questions.
Interview questions [1]
Question 1
What attracts you to apply for a Data Analysis opportunity at Facebook?
Easy interview, transparent and dysfunctional. It occurred on a Friday before a holiday. SQL and Python and stats. 4 part interview. Virtual. Part one was an intro. Part two was technical. Part three was a panel. Part four was an offer.
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