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."
Evaluate a Live-Stream Group Notification Under Network Effects
Prompt A social travel app wants to add a notification: “Someone in one of your groups is live now.” The notification can increase attendance at live ...
Define Success for a New Group Feature Without Hiding Cannibalization
Prompt A travel-oriented social app is considering a new Groups feature that lets people who do not already know one another form communities around d...
How to evaluate a similar-listing notifications feature
Question You are a Data Scientist on a US C2C marketplace app (like Facebook Marketplace) where users buy and sell second-hand products. Current produ...
Evaluate a New Ads-Ranking Algorithm
Evaluate a New Ads-Ranking Algorithm An ads team has developed a new ranking algorithm that chooses which ad to show for each eligible opportunity. En...
Compare Shop and Web Ad Performance Without Overclaiming
Compare Shop and Web Ad Performance Without Overclaiming You have 28 days of daily ad data: `text ads_detail(advertiser_id, ad_id, ad_type, ad_objecti...
How would you evaluate stolen-post detection?
You are interviewing for a Meta DSA (product analytics / data science) role. The product team is launching a new Stolen Post Detection algorithm that ...
Analyze and mitigate fake advertiser accounts
This question evaluates competency in fraud detection analytics, including operationally defining fake advertiser accounts, designing longitudinal met...
Measure scheduled posts feature success
Facebook is considering launching a new feature that allows users to schedule a post to be published at a future time. The product hypothesis is that ...
Should We Launch Group Calling?
Question You work on a consumer calling product (think Messenger/WhatsApp-style voice) that currently supports only one-to-one voice calls. The team i...
How should you evaluate unconnected content?
A social media platform has launched a feed feature that increases the share of unconnected content, meaning posts from creators who do not have an ex...
Estimate ads ranking revenue impact
You are the data scientist for an ads ranking team at a large social platform. The team has built a new ranking algorithm for feed ads. The new model ...
Should WhatsApp launch group calls?
This question evaluates a data scientist's skills in experiment design, product analytics, metric definition, causal inference, and managing network e...
Design a clustered A/B test with spillovers
This question evaluates a data scientist's understanding of cluster-randomized experiments with spillovers, covering causal inference under interferen...
How would you evaluate emoji reactions launch?
This question evaluates a data scientist's competency in analytics and experimentation, covering metric framework design, A/B testing and quasi-experi...
Design video-ads experiment and handle null results
You are launching a new video-ad format. Design an end-to-end A/B test to evaluate it against the current ad format. Be precise: 1) Define exposure an...
How to evaluate new listing notifications?
This question evaluates a data scientist's competency in experimental design, causal inference, metric selection (primary, secondary, guardrail), and ...
Evaluate AI-assisted ad creation
Meta is considering launching an AI-assisted ad creation feature for advertisers. The feature helps advertisers generate ad copy and/or creatives insi...
How would you define and use retention metrics?
Scenario You are a Data Scientist supporting a consumer product (app or website). A PM asks you to “dive deep” on user retention and recommends tracki...
How to measure harmful-content severity and run experiments
Question You are a Data Scientist working on content integrity / harmful content at a large social media platform (e.g., hate/harassment, self-harm, g...
Evaluate new shop-ads ranking algorithm
This question evaluates a data scientist's skills in online experimentation, causal inference, and marketplace analytics—covering A/B test design, ran...