Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Meta (Menlo Park, CA)
Colloquio
Recruiter reached out on Linkedin, initial 15 min phone chat to understand the role, 45 min vchat first round interview with a data scientist on the team, then five 30 min interviews onsite. I communicated with quite a few recruiters as they seem to handle different steps in the interview process, they also sent very exhaustive emails for both rounds of interview for preparation. There's another 30 min call right before the onsite with a data scientist on the team as a chance for you to ask what to expect. Interview schedule was pretty flexible; waited for less than a week to hear back after the onsite.
The onsite interview itself wasn't that difficult! I'm giving it an "Average", but I'd say it's really on the "Easy" side if you studied the emails the recruiters sent you and the Glassdoor interview questions.
Specifically, the interactions with my recruiter were very positive. He was very informative, helpful, timely, and professional.
Domande di colloquio [1]
Domanda 1
Some SQL questions with fake tables. It was kind of tricky to wrap my head around it as white boarding was quite different from writing code on your computer screen.
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.
Domande di colloquio [1]
Domanda 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.
Ho sostenuto un colloquio presso Meta (Cambridge, MA)
Colloquio
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
Domande di colloquio [1]
Domanda 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
Ho sostenuto un colloquio presso Meta (Menlo Park, CA)
Colloquio
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
Domande di colloquio [1]
Domanda 1
Questions on Bayes Theorem, Probability distribution, etc.
