Meta Data Scientist Analytics & Experimentation Interview Questions
Practice 258 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."
Measure fake account prevalence
This question evaluates a data scientist's competency in fraud measurement, statistical estimation, experimental design, and model evaluation for dete...
Evaluate an ads algorithm change
This question evaluates competency in experiment design, causal inference, metric selection, product analytics, and evaluation of ad-ranking systems, ...
Identify Potential Users for Instagram Shopping Tab Adoption
Evaluates how to identify likely adopters of an Instagram Shopping tab and measure whether the feature creates incremental commerce value. Strong answ...
Measure impact of bot mitigation via experiment
Experiment Design: Measuring the Impact of a Bot‑Mitigation System Context You are evaluating a production change to a large social platform that hide...
Design and analyze A/B test with interference
You must ship a News Feed ranking change where content produced by treated users can be seen by control users, creating interference and within-user c...
Design an A/B test for comments UI
This question evaluates experimental design, causal inference, statistical power calculation, variance-reduction techniques, sequential monitoring, an...
Measure fake-news interventions under network interference
Experiment Design Under Interference: Warning Label for Suspected Fake-News Reshares Context You are testing a pre-reshare warning label for links sus...
Evaluate fake accounts and ad creation
This question evaluates a data scientist's competencies in measurement and experimentation, covering prevalence estimation and detection system evalua...
Evaluate Notification-Based Account Ranking
This question evaluates a data scientist's competency in causal inference, A/B test and experiment design, metric definition and selection, statistica...
Define and Measure Effective Read on Newsfeed
Define and Measure Effective Read on Newsfeed Designing an "Effective Read" Metric for a Newsfeed Scenario You are tasked with defining and measuring ...
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...
Determine Value of Prioritizing Accounts by Unread Notifications
Determine Value of Prioritizing Accounts by Unread Notifications Feature Validation: Ordering Multiple Accounts by Unread Notifications Context Users ...
Diagnose spend drops, bots, and Stories
This question evaluates a product data scientist's competencies in diagnostic product analytics, advertising measurement and attribution, bot and abus...
How to Validate Friends' Content Engagement Hypothesis?
Validate Friends' Content Engagement Hypothesis A Meta product team wants to know whether content from a viewer's friends or connected authors drives ...
How would you evaluate Pixel issue alerts?
Meta is considering a new advertiser-facing ad management feature. When the system detects that an advertiser's Ads Pixel may be misconfigured or send...
How to evaluate Shop ad upranking
This question evaluates a data scientist's competency in causal experimentation, metric design, uplift and channel-substitution analysis, heterogeneou...
Design an A/B test for a new shop-ads algorithm
A new ranking/promotion algorithm will change which shop ads are shown (and their order). You are asked: “How do we know if this new algo is good?” De...
Design analysis to test social vs game engagement
Question Hypothesis: Among Oculus (Meta Quest) users, those who use social features are more regularly engaged than those who use game features. Using...
Measure a friend-recommendation launch
A new friend-recommendation algorithm ships behind a feature flag. Design how you will measure success and decide whether to launch: - State no more t...
Design and critique teen-parent impact experiment
Causal Impact of Parental Registration on Teen Outcomes Meta plans to let parents register and link to their teen’s account. Leaders are concerned abo...