J'ai postulé en ligne. J'ai passé un entretien chez Meta en juin 2025
Entretien moyen
Candidature
J'ai postulé via un recruteur. J'ai passé un entretien chez Meta en juin 2024
Entretien
Had a recruiter phone call screening then a 45min technical screening with a product data scientist - asked a couple of SQL questions then product metrics + some stats questions
Questions d'entretien [1]
Question 1
SQL - get users who called more than 3 different people during the week; get percentage of users who were active and used the video feature
Product - given those two metrics we calculated in SQL, how do we say if the group feature is in demand; what other data table would we need to decide; what if the usage of other product like messenger goes down because of the launch of this video feature
It kicked off with an initial phone screen that jumped straight into technical questions, so you really have to be warmed up—especially on A/B testing: framing the hypothesis, picking primary metrics and guardrails, walking through power/MDE, exposure and unit of randomization.
Questions d'entretien [1]
Question 1
Walk me end-to-end through how you’d run an A/B test for a new feature—start by selecting decision-driven metrics.
J'ai postulé en ligne. J'ai passé un entretien chez Meta (Menlo Park, CA) en mars 2025
Entretien
30 min call with recruiter, 1 hour Zoom interview based around product case and SQL/Python database questions. The final round is a loop interview. Two business case interviews, two technical interviews.
Questions d'entretien [1]
Question 1
Please solve this technical question using either R, Python, or SQL. If given a new feature, how would you measure its success rate in an area? If we added another featur,e how would that impact your original measurement.
Meta's SQL screening tests query skills, optimization, and handling complex datasets. The case round evaluates problem-solving, business insights, and technical solutions to real-world scenarios using data-driven approaches. Its moderate difficulty