Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empleadores

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      Meta

      Empleador activo

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de Meta | Empleos en Meta | Sueldos en Meta | Prestaciones en Meta
      Entrevistas en MetaEntrevistas para el cargo de Data Scientist en MetaEntrevista en Meta


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

      • Ayuda
      • Pautas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de autorización de cookies

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor", "Worklife Pro", "Bowls" y sus logotipos son marcas comerciales registradas de Glassdoor LLC.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Data Scientist

      29 de mar de 2017
      Candidato de entrevista anónimo
      Menlo Park, CA
      Oferta rechazada
      Experiencia negativa
      Entrevista difícil

      Solicitud

      Me postulé en línea. El proceso tomó 6 semanas. Acudí a una entrevista en Meta (Menlo Park, CA) en feb 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.

      Preguntas de entrevista [9]

      Pregunta 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 respuestas

      Pregunta 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 respuestas

      Pregunta 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 respuestas

      Pregunta 4

      How do you measure newsfeed health?
      2 respuestas

      Pregunta 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 respuestas

      Pregunta 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 respuestas

      Pregunta 7

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

      Pregunta 8

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

      Pregunta 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 respuestas
      434

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en Meta

      Entrevista para Data Scientist

      23 de may de 2026
      Empleado anónimo
      Menlo Park, CA
      Oferta aceptada
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en 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

      Preguntas de entrevista [1]

      Pregunta 1

      Questions on Bayes Theorem, Probability distribution, etc.
      Responder pregunta

      Entrevista para Data Scientist

      15 de may de 2026
      Candidato de entrevista anónimo
      Oferta rechazada
      Experiencia neutra
      Entrevista fácil

      Solicitud

      Acudí a una entrevista en 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.

      Preguntas de entrevista [1]

      Pregunta 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 pregunta

      Entrevista para Data Scientist

      13 de may de 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé en línea. El proceso tomó 6 meses. Acudí a una entrevista en 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.

      Las mejores empresas en cuanto a "Remuneración y prestaciones" cerca de ti

      avatar
      Amazon
      3.7★Remuneración y prestaciones
      avatar
      Google
      4.5★Remuneración y prestaciones
      avatar
      eBay
      4.0★Remuneración y prestaciones
      avatar
      Amazon Web Services
      3.9★Remuneración y prestaciones