Ir para o conteúdoIr para a pasta
  • Vagas
  • Empresas
  • Salários
  • Para empresas

      Avance em sua carreira

      Descubra qual pode ser seu salário, conquiste a vaga dos seus sonhos e compartilhe insights de qualidade de vida com sigilo.

      employer cover photo
      employer logo
      employer logo

      Meta

      Empresa engajada

      Sobre
      Avaliações
      Remuneração e benefícios
      Vagas
      Entrevistas
      Entrevistas
      Buscas relacionadas: Avaliações da empresa Meta | Vagas da empresa Meta | Salários da empresa Meta | Benefícios da empresa Meta
      Entrevistas da empresa MetaEntrevistas do cargo de Data Scientist da empresa MetaEntrevista da empresa Meta


      Glassdoor

      • Sobre
      • Prêmios
      • Blog
      • Fale conosco

      Empresas

      • Conta gratuita de empresa
      • Área da empresa
      • Blog para empresas

      Informações

      • Ajuda
      • Regras da Comunidade
      • Termos de Uso
      • Privacidade e opções de anúncios
      • Não venda nem compartilhe minhas informações
      • Ferramenta de consentimento de uso de cookies

      Trabalhe conosco

      • Anunciantes
      • Carreiras
      Baixe o aplicativo:

      • Busque por:
      • Empresas
      • Vagas
      • Localizações

      Copyright © 2008-2026. Glassdoor LLC. “Glassdoor”, “Worklife Pro”, “Bowls” e o logotipo do Glassdoor são marcas comerciais pertencentes à Glassdoor LLC.

      Empresas seguidas

      Fique por dentro de todas as oportunidades e dicas internas seguindo as empresas de seus sonhos.

      Entrevista para Data Scientist

      29 de mar. de 2017
      Candidato(a) sigiloso(a) à entrevista
      Menlo Park, CA
      Oferta recusada
      Experiência negativa
      Entrevista difícil

      Candidatura

      Candidatei-me online. O processo levou 6 semanas. Fui entrevistado pela Meta (Menlo Park, CA) em fev. de 2017

      Entrevista

      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.

      Perguntas de entrevista [9]

      Pergunta 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 respostas

      Pergunta 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 respostas

      Pergunta 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 respostas

      Pergunta 4

      How do you measure newsfeed health?
      2 respostas

      Pergunta 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 respostas

      Pergunta 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 respostas

      Pergunta 7

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

      Pergunta 8

      Facebook sees that likes are up 10% year over year, why could this be?
      5 respostas

      Pergunta 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 respostas
      434

      Outras avaliações de entrevista de vagas de Data Scientist da empresa Meta

      Entrevista para Data Scientist

      23 de mai. de 2026
      Funcionário(a) sigiloso(a)
      Menlo Park, CA
      Oferta aceita
      Experiência neutra
      Entrevista difícil

      Candidatura

      Fiz uma entrevista na empresa Meta (Menlo Park, CA).

      Entrevista

      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

      Perguntas de entrevista [1]

      Pergunta 1

      Questions on Bayes Theorem, Probability distribution, etc.
      Responder à pergunta

      Entrevista para Data Scientist

      15 de mai. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Oferta recusada
      Experiência neutra
      Entrevista fácil

      Candidatura

      Fiz uma entrevista na empresa Meta.

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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.
      Responder à pergunta

      Entrevista para Data Scientist

      13 de mai. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista difícil

      Candidatura

      Candidatei-me online. O processo levou 6 meses. Fiz uma entrevista na empresa Meta.

      Entrevista

      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.

      As melhores empresas na categoria “Remuneração e benefícios” perto de você

      avatar
      Amazon
      3.7★Remuneração e benefícios
      avatar
      Google
      4.5★Remuneração e benefícios
      avatar
      Booking.com
      4.2★Remuneração e benefícios
      avatar
      Yandex
      3.8★Remuneração e benefícios

      Buscas de vagas

      Comece a buscar vagas para receber atualizações e recomendações personalizadas.