I applied through an employee referral. The process took 3 months. I interviewed at Meta in Jul 2021
Interview
Standard interview process, one phone screen and one on-site. All the resources are online. Interviewers were very respectful, the nicest and some of the smartest I've met in a cycle of ~15 companies.
After the offer, talked with 2 DS managers who assuaged some of my concerns that I would not know anyone I was working with as I had to go through team selection. I ended up joining one of the DS manager's teams 4 months later after going through bootcamp.
Process took too long. 4 or 5 weeks between application, recruiter reach out, first interview, then 2 weeks for second recruiter briefing, then 6 weeks for onsite. No chance to speed up!
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.
Interview questions [3]
Question 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
Interview questions [1]
Question 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