Me postulé en línea. El proceso tomó 3 meses. Acudí a una entrevista en Meta
Entrevista
Reached out by a recruiter to go over my background, interests. Followed up with one phone interview, and an onsite with 5 people (Data Scientists, analysts, managers), and a campus tour.
Questions are not difficult- preparing machine learning high level questions (standard questions, not very academic focused); SQL querying; Probability and game theory puzzles, Statistics 101.
HR sends you a standard email on what to expect in the interview - it is more like a formality, if you're a Data Scientist, this is stuff that you do in your day to day work.
Preguntas de entrevista [1]
Pregunta 1
I can't share specific questions, but they're generally around what metrics you would look at for a particular product, how would you interpret them, etc.
Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.
Preguntas de entrevista [1]
Pregunta 1
Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
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.
