Me postulé a través de una recomendación de un empleado. El proceso tomó 3 semanas. Acudí a una entrevista en Meta (Menlo Park, CA)
Entrevista
Phone screen with hr, phone screen with data scientist, techincal phone screen (one case one SQL), 4 on-sites (2 cases, 1 SQL, 1 stats).
All interviews were fast-paced. They're okay if you make small mistakes if you're able to quickly recover.
Preguntas de entrevista [1]
Pregunta 1
Suppose likes are down 2% but engagement is up 5%. Is that good?
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.
Las mejores empresas en cuanto a "Remuneración y prestaciones" cerca de ti
