Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Meta nel mese di apr 2020
Colloquio
Technical Recruiter reached out to me via Linkedin and set up a phone interview. After that call, she set up the first initial interview with one of the Data Scientist at FB for about 20 days later. I started to prepare my self for the interview, meanwhile, she asked for my transcripts and diploma and the type of Visa that I'll need. Four days before the interview I got an email that "at this time we’ve filled our headcount for Data Scientists at the level/location you are interested in, and hence will, unfortunately, be canceling your upcoming interview". I have nothing to say....
Ho sostenuto un colloquio presso Meta (Menlo Park, CA)
Colloquio
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.
Domande di colloquio [3]
Domanda 1
Design an A/B test for a Facebook Reels ranking change and describe how you would interpret the results
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