Solicité el puesto a través de una agencia de empleo. Acudí a una entrevista en Meta (Tel Aviv) en ago 2020
Entrevista
First a mail with som question about me.
Then an 1 hour interview with a data scientist.
one SQL question - it was very easy
one analytics case - not easy but not very hard. But he ask me about some statistical formula, and I was not prepared for that (what is the t-test equation).
Preguntas de entrevista [1]
Pregunta 1
Our teams have developed an algorithm to detect spams and classify them at the bottom of the newsfeed.
How to check if it works?
If it's profitable?
Conversation with recruiter in email. Technical screening round where they ask about SQL and product sense. Onsite-Loop with four rounds. They ask about SQL, Product Sense, Statistics, Behavioural questions. The difficulty is average.
The technical round kicked off with a design question about A/B testing for Facebook Reels, which I found engaging. Then, I tackled a SQL query on user comments and how to account for novelty effects in ongoing experiments. Thankfully, I had prepared with the company-specific questions on PracHub, and it made a real difference in my confidence. The entire process felt smooth, and after some behavioral questions, I received an offer that I happily accepted.
Preguntas de entrevista [3]
Pregunta 1
Design an A/B test for a Facebook Reels ranking change and describe how you would interpret the results
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