Me postulé en línea. El proceso tomó 2 meses. Acudí a una entrevista en Meta
Entrevista
I had three rounds of interviews, one 15-min phone screening with recruiter, then two 45-min rounds with data scientists. The interviews were very structured. In each interview, I was asked to talk about a data analysis project I've worked on. Then I was asked some simple data manipulation questions (you can choose to use SQL/Python/R), basic stats/probability questions, and product analytics case questions. Time at the end to ask the interviewer questions.
Preguntas de entrevista [3]
Pregunta 1
How would you create a model to find bad sellers on marketplace?
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
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.
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.
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