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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, Product Analytics en MetaEntrevista en Meta


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      Entrevista para Data Scientist, Product Analytics

      16 de sept de 2025
      Candidato de entrevista anónimo
      New York, NY

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

      Entrevista para Data Science - Product Analytics

      21 de abr de 2026
      Candidato de entrevista anónimo
      Menlo Park, CA
      Sin ofertas
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. El proceso tomó 5 semanas. Acudí a una entrevista en Meta (New York, NY) en sept 2025

      Entrevista

      First round was a recruiter screen. The recruiter told about the role and expected salary. The next round was technical screen with a data scientist. He asked SQL and A/B testing questions.

      Preguntas de entrevista [1]

      Pregunta 1

      The interviewer asked two SQL questions that had to be answered on CoderPad followed by a product improvement question. I said that we need to do A/B testing and provided all details needed to setup the experiment. The interviewer seemed satisfied and was able to cover all questions he planned to ask. He had to nudge me a bit both for SQL and A/B testing questions but I was able to pick up fast and responded appropriately. I had a positive experience but received a rejection next day.
      Responder pregunta
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en Meta (Menlo Park, CA)

      Entrevista

      Started with a recruiter/screening round and then moved into the full loop. The full loop had four rounds focused on analytical execution, analytical reasoning, technical skills, and behavioral. SQL was a major part of the process, along with product metrics, experiments, stats, and communication. The process was structured but still challenging because the questions were open-ended and required clear thinking, not just memorized answers.

      Entrevista para Data Scientist, Product Analytics

      9 de mar de 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en Meta

      Entrevista

      Recruiter screening then 1 hr technical screen on sql and business case. The interviews were focused heavily on product thinking: defining clear success metrics, interpreting metric trade-offs, and designing solid experiments. The SQL portion was straightforward but expected clean logic and structured thinking. The case rounds really test how well you connect metrics to real business impact.

      Preguntas de entrevista [1]

      Pregunta 1

      SQL, success of feature metric evaluation
      Responder pregunta

      Entrevista para Data Scientist, Product Analytics

      15 de ene de 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia negativa
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Meta

      Entrevista

      I got a little caught off guard because I was expecting only 25% coding but it was like 75% SQL coding (5-6 questions related to a business case) followed by a full research design of an A/B experiment. All of this was expected to be complete in 40 minutes so you need to be able to work really fast.

      Preguntas de entrevista [1]

      Pregunta 1

      One SQL problem required calculating correlation from scratch using SQL, was not expecting that.
      Responder pregunta