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

      17 mar 2018
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Me postulé en persona. El proceso tomó 1 semana. Acudí a una entrevista en Meta en mar 2018

      Entrevista

      Was contacted by a Facebook recruiter and then the resume exchanged hands when finally got a call from Infrastructure team. Recruiter herself asked screening questions from sql, statistics and programming, trivial ones. It was followed by a phone interview. It was from 3 areas in sql, programming and machine learning. Recruiter was clearly interviewing to test the limits. There were 3 questions on sql, 1 on programming and 2 questions on machine learning concept. The focus on machine learning was quite less and primary focus seemed to be on sql and programming. Sql questions were on group by and joins. The first question needed a self join which i didn't get at first, but the interviewer was helpful. The other 2 questions were straight forward group by and join questions . programming question was a bit unexpected for doing in 20 mins. Was given a log file of format id, accepted, id1,id2,id3 id, rejected, id5 id3,request, id6 and was asked to create a network graph from it. I guess the interviewer wanted the result in simply a dictionary , but started with what will be the best data structure to store it, to which i answered bi directional graph and then asked me to code the graph, which got me confused b/w the linked list approach and the normal dictionary approach and ended up taking more time. In midway he said that he understood my approach and moved to machine learning. In machine learning the questions were between bias variance trade off and PCA . In PCA he went into detail as in what method is used to decompose matrix, what is the significance of first principal component and in the end what is the relationship between the first and second principal component. I got stuck at the relationship between first and second principal component. I got rejected. My best guess is because of the programming question. Recruiter had suggested that phone interview will be around basic data processing question, so wasn't expecting a network graph question at the phone interview level. But guess it's facebook :)

      Preguntas de entrevista [1]

      Pregunta 1

      To create a network graph from a log file in 20 mins. Guess the interviewer wanted a simple dictionary as a data structure but confused me with calling it a network graph repeatedly. If he indeed wanted it like a graph where all properties such as pre order , in order traversal could be applied. It's no way a 20 min question.
      3 respuestas
      4

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

      Entrevista para Data Scientist

      23 may 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

      13 may 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
      Maze
      4.5★Remuneración y prestaciones