I applied through an employee referral. The process took 2 months. I interviewed at Meta (Tel Aviv) in Nov 2021
Interview
The first interview was an HR call that asked personal questions and work experience, after that they sent a Word file with additional interview questions and analytical questions. Some of the questions were: 1. What course projects and/or experience have you gained experience in Data Analysis 2. How does a Data Science role at Facebook align with your background, skills and areas of interest? 3. Let’s say we want to figure out for any Facebook (or Instagram) user, who their best friend is so we can prioritize showing their content in the News Feed. What product signals and metrics (please max at 5) would you use to determine who a user’s best friend is? After that there is a technical interview which included a analytics question and two SQL questions. Finally there is a personal interview and probability questions.
Interview questions [1]
Question 1
What attracts you to apply for a Data Analysis opportunity at Facebook?
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.
