Candidates applying for Data Scientist roles take an average of 60 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 32 days.
Common stages of the interview process at Meta as a Data Scientist according to 1 Glassdoor interviews include:
Phone interview: 33%
One on one interview: 33%
Presentation: 33%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 months. I interviewed at Meta (Menlo Park, CA) in Mar 2025
Interview
After the call with recruiter then I did my first round of interview on technical skills around SQL, then I moved to onsite interview where I had to do 4 different interviews.
Interview questions [1]
Question 1
They ask all different things on different interviews. Statistical knowledge, SQL coding skills, product sense. All these questions are related on topics (even though it's not always directly about Meta) that sound like Meta would actually work on.
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