Meta Data Scientist Analytics & Experimentation Interview Questions
Practice 255 real Analytics & Experimentation interview questions for Data Scientist roles at Meta.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Measuring and mitigating fake news on Facebook
Measuring and Mitigating Fake News Under Reviewer Constraints Policy teams need an overnight view of fake-news prevalence on the platform, but only a ...
Determine Success Metrics for New Group Video-Call Feature
Determine Success Metrics for a New Group Video-Call Feature Meta is exploring a new group video-call feature. You need to estimate demand before laun...
Analyze Data to Boost Group Post Comment Rates
Analytics Plan to Increase Group Post Comment Coverage A social shopping platform wants to increase the percentage of group posts that receive at leas...
Determine Group Call Feature Need and Evaluation Methods
Determine Need and Evaluation Methods for Group Calling You are the product analyst for a messaging platform considering a group-calling feature. You ...
Evaluating Instagram’s one‑tap account switcher
Instagram One-tap Account Switcher: Identity, Behavior, and Risk Product teams shipped an in-app one-tap account switcher to help creators and power u...
Uncover User Needs for Group Calling Effectively
Uncover User Needs and Measure Group Calling Impact You are the product analyst for a messaging platform planning to introduce group calling. You need...
Advertising for local businesses boosting popular posts
Boosting Popular Posts for Local SMBs You are evaluating an experiment where small local businesses can pay to boost their popular organic posts. Defi...
Choose alternatives when randomization fails
Causal Impact of an Autoloaded Feature Without Clean Randomization Context You need to estimate the causal effect of a new autoloaded feature that is ...
Decide event notification launch via experiments
Meta plans a new notification that tells you when friends are going to an event. Determine whether to launch it. 1) Design the experiment accounting f...
Design and analyze end-to-end A/B test
A/B Test Design: Higher-Quality Friend Recommendations Context: You are updating the Friend Recommendation ("People You May Know") ranking to prioriti...
Diagnose drop and assess metric change impact
Investigate a Drop in Average Posts per DAU Context You work on a large consumer social app. The metric "average number of posts per DAU" (daily activ...
Design and justify unread-account pinning experiment
Experiment: Pin Unread Accounts at the Top of the Account Switcher You plan to launch a UI change for people who own multiple accounts: pin accounts w...
Design Messenger spam experiment with clustering
Experiment Design: Spam-Detection Algorithm for Messenger You are evaluating a new spam-detection algorithm that routes suspected spam into a separate...
How would you measure shop-ads promotion success?
Context You work on an ads ranking/serving system for an e-commerce product. A new ads algorithm is intended to promote “shop ads” (ads that drive use...
Boost Engagement and Purchases in Meta Social Products
Boost Engagement and Purchases in Meta Social Products Meta Social Products: Driving Comments in Facebook Groups and In‑App Purchases on Instagram Con...
Analyze Algorithm's Impact on Diverse Demographics and Validate Causes
Analyze Algorithm's Impact on Diverse Demographics and Validate Causes A/B Test: Heterogeneous Lift in CTR for a New Ad-Ranking Algorithm Context You ...
Estimate Fake Accounts Using Data Signals and Sampling
Estimate Fake Accounts Using Data Signals and Sampling Estimating Fake Accounts on a Social Network Background A large social platform wants to estima...
Design A/B Test to Evaluate Payment Method Impact
Design A/B Test to Evaluate Payment Method Impact A/B Experiment Design: New Payment Method Rollout Context You are evaluating whether to launch a new...
[Analytics Reasoning] Impact of Malicious Accounts on Meta
You are analyzing malicious accounts on a large social network. Assume: - 1% of all accounts are malicious. - Malicious accounts send friend requests ...
Design an A/B test for non-friend posts
Design an A/B test for non-friend posts Experiment design question A social network launches a new feed feature: users can now see some posts from peo...