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      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


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      Entrevista para Data Scientist

      1 de abr de 2019
      Candidato de entrevista anónimo
      Menlo Park, CA
      Sin ofertas
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Me postulé a través de un reclutador. El proceso tomó 3 meses. Acudí a una entrevista en Meta (Menlo Park, CA) en mar 2019

      Entrevista

      Recruiter reached out to scout for interest - he was extremely helpful, informative, and encouraged me to take my time to prepare with thorough material. FB wants you to be as prepared as possible with no surprises/tricks to the interview to pick out those who are not only the most qualified but also the best prepared. Scheduled the initial interview around ~2.5 months out. Video Interview - 45 minutes with a Data Scientist. He opened with a quick rundown of my background and why I want to work for Facebook, but the bulk of the interview was technical - the first half being SQL on Coderpad and the second being product interpretation. I passed and received confirmation that I would advance to the onsite on the same day. On Site Interview - 4 30-minute rounds testing various topics surrounding applied data, product sense, probability & statistics, and SQL (or Python/R), with a 45 minute lunch in between with a data scientist who is there to help you answer any questions (not part of the interview. Zero questions on behavioral or anything regarding my background. I was not extended an offer and was communicated the rejection shortly after. Overall, a very pleasant experience - FB is a top notch company with best practices, though of course, individual experience can and will widely vary. For on-site, it's very important that you map and diagram your thoughts on the white board. Most questions appear as though there is a specific answer in mind that they are looking for, though the way you get there might be flexible. The best way to prepare is to think through the different scenarios and products and figure out a way to build a business case around measuring some metric or improving the product. Expect lots of pushback with detailed, probing questions during your answers.

      Preguntas de entrevista [3]

      Pregunta 1

      Suppose FB wants to launch feature X on product Y - how would you assess whether or not this is a good idea? How about when standard AB Testing does not work?
      Responder pregunta

      Pregunta 2

      Given a table of users, dates, statuses, etc. - calculate the ratio X grouped by Y on day Z. Call out edge cases - don't assume anything about the data without clarifying.
      Responder pregunta

      Pregunta 3

      Given a scenario X - figure out the probability of A, probability of A given B, etc. Draw out the distribution of users in scenario Y - figure out what the mean, median, and xth percentile is.
      Responder pregunta
      12

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

      Entrevista para Data Scientist

      19 de jun de 2026
      Empleado anónimo
      Oferta aceptada
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Meta

      Entrevista

      Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.

      Preguntas de entrevista [1]

      Pregunta 1

      Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
      Responder pregunta

      Entrevista para Data Scientist

      11 de jun de 2026
      Empleado anónimo
      Cambridge, MA
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Meta (Cambridge, MA)

      Entrevista

      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

      Preguntas de entrevista [1]

      Pregunta 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
      Responder pregunta

      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

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