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      Data Scientist Interview

      23 Oct 2017
      Anonymous interview candidate
      Menlo Park, CA
      No offer
      Negative experience
      Average interview

      Application

      I applied online. The process took 2 weeks. I interviewed at Meta (Menlo Park, CA) in Sept 2017

      Interview

      First a phone screen with the recruiter who explains the position and the interview process. Then a video interview with a data scientist which consists of a technical coding exercise and some product questions about what could be driving activity.

      Interview questions [4]

      Question 1

      Very disappointing experience from interviewing with FB. Absolute worst and least professional interviewer I have ever had. * FB does video interviews for the first round (along with coding in an online environment). This is fairly surprising since it can't serve much legitimate purpose. I'm sure their legal team is thrilled at the additional burden they face in discrimination lawsuits since the interviewer clearly can has information about the appearance of the candidate and they can't plead ignorance. Of course perhaps they are looking for unkempt candidates or trying to demonstrate the culture of transparency at Facebook, but read on! * Interview was 5 minutes late to video interview and had disheveled appearance during whole interview. He was constantly fidgeting and playing with the neighboring chairs and objects on the table and even put his feet on the other chairs and table! An interview for a position is a two-way street, so the interviewer also needs to be on "best behavior". * In addition to the behavior above which was unprofessional, he interrupted very frequently. This goes beyond steering the conversation. This is really tricky since one person is judging you, nobody wants to say "Please allow me to finish explaining my answer and reasoning" and hope somebody like this won't hold it against you. He possibly spent just as much time talking as I did during the interview answering his questions. The interruptions came both in the coding sections when I explained my thought process before implementing it and during the product questions when explaining possible scenarios. Of course clarifying comments are helpful to make sure the candidate is on the right track, but interrupting somebody just because they want to use a subquery (and you wouldn't) and is going to solve the problem slightly differently than you would is indicative of your lack of emotional intelligence and perhaps also the programming language you're working with. * He obviously wasn't paying attention during the process and didn't take it seriously. He was constantly working on his computer. Of course he could have been taking notes, but after I answered a question twice and explained my thoughts twice, he stated what the correct answer was--which was in fact what I said twice, but he apparently hadn't been listening then and was occupied with the chair/table objects/computer. * The interviewer seemed to only accept very specific answers that aligned with his thoughts and preferred answers. This mentality is obviously horrible for open-ended questions like "what could be causing this" or "what data would you look at". You may be looking at this data all the time and know which fields are useful for this task, but when you condescendingly react like the interviewee is a complete idiot for thinking of looking at the timestamp patterns for app usage you don't demonstrate your intelligence but rather your closed mindedness and unfamiliarity and inexperience with working with any type of data except the dataset at your company. * It is probably clear from reading the interview questions from other candidates and what the recruiters provide you as prep, but this really isn't a data scientist position: it's more or a data analyst or SQL monkey position. For this reason I was borderline on interviewing here anyway but thought, "hey, it is Facebook". I'm sure everybody in the industry knows that this is what FB data scientists do, so while the name cache might carry advantages when looking for a job later, it could actually harm you if you want to be thought of as a data scientist and move on to legit data scientist/software engineer positions. * The information you receive that you can solve the questions in SQL or Python or R is possibly incorrect. My interviewer wanted it in SQL or Python. Not a big deal since I know all three, but when when this is one of the first things you hear (along with all the rest of the insanity of this interview) it is enough to throw you off your game. SQL seems to be the preferred solution, so I'd recommend forgetting about the others if your SQL is decent. * The one positive of all of this experience is that the recruiters were professional--both in scheduling the interviews and in explaining the role and answering any questions you may have. Overall, I agree with some of the other comments here that you might get unluckly with a very egotistical interviewer. Officially I haven't heard back from FB yet, but I would be shocked to advance and really have no interest to work with someone like this. Bad apples exist in all companies, but a bro culture like this really does dampen any interest of anything FB. Yikes.
      Answer question

      Question 2

      Do you have any questions?
      1 Answer

      Question 3

      You have a table with appID, eventID, and timestamp. eventID is either 'click' or 'impression'. Calculate the click through rate. Now do it in for each app.
      6 Answers

      Question 4

      Likes/user and minutes spent on a platform are increasing but total number of users is decreasing. What could be causing this?
      1 Answer
      5

      Other Data Scientist interview reviews for Meta

      Data Scientist Interview

      11 Jun 2026
      Anonymous employee
      Cambridge, MA
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Meta (Cambridge, MA)

      Interview

      Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR

      Interview questions [1]

      Question 1

      Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
      Answer question

      Data Scientist Interview

      23 May 2026
      Anonymous employee
      Menlo Park, CA
      Accepted offer
      Neutral experience
      Difficult interview

      Application

      I interviewed at Meta (Menlo Park, CA)

      Interview

      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

      Interview questions [1]

      Question 1

      Questions on Bayes Theorem, Probability distribution, etc.
      Answer question

      Data Scientist Interview

      13 May 2026
      Anonymous interview candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 6 months. I interviewed at Meta

      Interview

      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.

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