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      Entretien pour Data Scientist

      29 mars 2017
      Candidat à l'entretien anonyme
      Menlo Park, CA
      Offre refusée
      Expérience négative
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 6 semaines. J'ai passé un entretien chez Meta (Menlo Park, CA) en févr. 2017

      Entretien

      I applied online in late December and then spoke to a recruiter for about 15 minutes in early January. I was scheduled for an in-person interview in mid January where I interviewed with one data scientist in a 1:1 interview for an hour for the first round. Another recruiter then called me for a 30 minute prep for the 2nd round. The final, 2nd round interview was about 5 weeks later in late February, with 6 data scientists over 4 hours in the afternoon. I got an offer but it was for a lot less than I was expecting, and we couldn't bridge the gap enough for it to be worth it. Everyone seemed relatively nice, although I could tell that a lot of the questions are really designed to trip you up, like they want you to miss some detail or edge case. My advice would be to pay attention to every little bit of minutiae regarding the question, make sure you're staying on task, write on the whiteboard, and explain your thoughts. Industry word is that data science at Facebook is not what it once was and is more of a product data analyst role now, so make sure you're really into Facebook products because that's what you'll be analyzing. Also, I didn't get a single question about dice, cards, or any other brain teaser type questions. All these mentions of NDAs are missing the point of Glassdoor, people can be a little more verbose than "various questions". You can't trademark an interview question or claim it's a trade secret.

      Questions d'entretien [9]

      Question 1

      How would you measure the health of Mentions, Facebook's app for celebrities? How can FB determine if it's worth it to keep using it? If a celebrity starts to use Mentions and begins interacting with their fans more, what part of the increase can be attributed to a celebrity using Mentions, and what part is just a celebrity wanting to get more involved in fan engagement?
      4 réponse(s)

      Question 2

      There is a table that tracks every time a user turns a feature on or off, with columns user_id, action ("on" or "off), date, and time. How many users turned the feature on today? How many users have ever turned the feature on? In a table that tracks the status of every user every day, how would you add today's data to it?
      13 réponse(s)

      Question 3

      If 70% of Facebook users on iOS use Instagram, but only 35% of Facebook users on Android use Instagram, how would you investigate the discrepancy?
      8 réponse(s)

      Question 4

      How do you measure newsfeed health?
      2 réponse(s)

      Question 5

      If a PM says that they want to double the number of ads in Newsfeed, how would you figure out if this is a good idea or not?
      5 réponse(s)

      Question 6

      We have two options for serving ads within Newsfeed: 1 - out of every 25 stories, one will be an ad 2 - every story has a 4% chance of being an ad For each option, what is the expected number of ads shown in 100 news stories? If we go with option 2, what is the chance a user will be shown only a single ad in 100 stories? What about no ads at all?
      16 réponse(s)

      Question 7

      How do you map nicknames (Pete, Andy, Nick, Rob, etc) to real names?
      5 réponse(s)

      Question 8

      Facebook sees that likes are up 10% year over year, why could this be?
      5 réponse(s)

      Question 9

      How many high schools that people have listed on their profiles are real? How do we find out, and deploy at scale, a way of finding invalid schools?
      4 réponse(s)
      434

      Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez Meta

      Entretien pour Data Scientist

      23 mai 2026
      Employé (anonyme)
      Menlo Park, CA
      Offre acceptée
      Expérience neutre
      Entretien difficile

      Candidature

      J'ai passé un entretien chez Meta (Menlo Park, CA)

      Entretien

      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

      Questions d'entretien [1]

      Question 1

      Questions on Bayes Theorem, Probability distribution, etc.
      Répondre à cette question

      Entretien pour Data Scientist

      15 mai 2026
      Candidat à l'entretien anonyme
      Offre refusée
      Expérience neutre
      Entretien facile

      Candidature

      J'ai passé un entretien chez Meta

      Entretien

      A friend who worked at Meta recommended I apply, which led to a direct connection with the hiring team. My interview journey included a technical screen focused on product metrics and a behavioral interview. The final round faced me with a practical question about measuring success for a new push notification feature. Funny enough, I had found similar questions in the company-specific prompt section on PracHub, which helped me approach it confidently. Ultimately, I received an offer but decided to decline it for personal reasons.

      Questions d'entretien [1]

      Question 1

      How would you measure the success of a new push notification feature on Instagram? Walk through your primary metric, guardrail metrics, how you'd design the A/B test (randomization unit, sample size, duration), and the tradeoffs between short-term engagement lift and long-term retention impact.
      Répondre à cette question

      Entretien pour Data Scientist

      13 mai 2026
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 6 mois. J'ai passé un entretien chez Meta

      Entretien

      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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