I applied through a recruiter. The process took 1 week. I interviewed at Meta in Sep 2021
Interview
received a mail from recuiter of Facebook London office,
set up a 45 mins Bluejeans Screening Interview with the recuiter,
send the prepration materials,
the 2nd interview with a data scientist in the group
feed back is not good,end the process
Interview questions [1]
Question 1
Question: Several years ago FB was considering building a product around High Schools. At the time we had 300 million users fill out their current high school. How would you determine if the data is real?
Product Interpretation
Questions: How would you measure the health of the Newsfeed product? Should we double the amount of ads in Newsfeed?
Technical Analysis
Based on table provided:
What stat would you pull to get a high level view of feed and engagement?
How would you size the revenue opportunity for sponsored posts? How would you redo the sizing for revenue on sponsored posts?
How would you quantify if a sponsored post is creating a poor experience for users?
Quantitative Analysis
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.
Interview questions [1]
Question 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.
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
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
Interview questions [1]
Question 1
Questions on Bayes Theorem, Probability distribution, etc.
