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      Data Science - Product Analytics Interview

      Sep 21, 2024
      Anonymous Interview Candidate
      Menlo Park, CA
      No offer
      Positive experience
      Average interview

      Application

      I applied online. The process took 1 week. I interviewed at Meta (Menlo Park, CA)

      Interview

      Recruiter reached out to me via LinkedIn. During initial screening with recruiter I was given prep materials, practice coding websites, and instructions on how to use Llama3 to generate example case studies. Case study interview consisted of describing my background and then walking through how I would design an experiment step-by-step and explain why.

      Interview questions [2]

      Question 1

      Design an experiment to increase engagement with Facebook.
      Answer question

      Question 2

      How would you determine the minimum number of users to put into test group A, B, and Control?
      Answer question

      Other Data Science - Product Analytics Interview Reviews for Meta

      Data Science - Product Analytics Interview

      Apr 21, 2026
      Anonymous Interview Candidate
      Menlo Park, CA
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at Meta (Menlo Park, CA)

      Interview

      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.

      Data Scientist, Product Analytics Interview

      Mar 9, 2026
      Anonymous Interview Candidate
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at Meta

      Interview

      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.

      Interview questions [1]

      Question 1

      SQL, success of feature metric evaluation
      Answer question

      Data Scientist, Product Analytics Interview

      Jan 15, 2026
      Anonymous Interview Candidate
      No offer
      Negative experience
      Difficult interview

      Application

      I interviewed at Meta

      Interview

      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.

      Interview questions [1]

      Question 1

      One SQL problem required calculating correlation from scratch using SQL, was not expecting that.
      Answer question

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