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."
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...
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 ...
Reduce variance with covariate adjustment
Experiment Design and CUPED/Regression Adjustment You are running a randomized A/B test with outcome Y. You also have a pre-period covariate X (measur...
Handle novelty and residual effects
This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifical...
Design a clustered notification experiment with guardrails
You work on a mobile travel app (think TripAdvisor-like) that will test a new push-notification policy recommending nearby attractions. Design a rigor...
Design B2C chatbot success metrics and test plan
You own 'euro-chat', a B2C customer-support chatbot that aims to deflect agent contacts while preserving customer satisfaction. Design a rigorous succ...
Choose group-call size cap via experiment
Decide the Maximum Participants per Group Call: Experiment Plan Context: You need to choose a default cap for group calls (maximum concurrent particip...
Design A/B test and success metrics for new feature
Instagram Collections 2.0 — Define Success, Experiment Design, and Measurement Context: You are proposing a new Instagram feature, Shareable Collectio...
Design a feed ads A/B test with guardrails
Experiment Design: Insert One Extra Ad Every 8 Organic Posts in Main Feed Context You want to increase ad load by inserting one additional ad for ever...
Design an A/B test for WFH filter
A/B Test Design: Optional "Work From Home" Filter on Search Page You are designing an online controlled experiment for a marketplace search page that ...
Design metrics for violating content exposure
Measuring User Exposure to Violating Content on a UGC Platform Context You work on a large-scale user-generated content (UGC) platform that uses autom...
Design metrics to detect harmful content and fraud
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a rea...
Explain why IG Story usage exceeds Facebook
Explain why IG Story usage exceeds Facebook Product analytics case: Instagram vs Facebook Stories You work on Stories across two apps: Instagram (IG) ...
Design an A/B Test for Group Video Calls Impact
Design an A/B Test for Group Video Calls Impact A/B Experiment Design: Group Video Calls on Instagram Scenario Instagram wants to evaluate the impact ...
Evaluate Impact of Increasing Stranger Content in Feeds
Evaluate Impact of Increasing Stranger Content in Feeds Feed-Ranking Strategy: Friends vs. Stranger Content Background A personalized feed currently m...
Evaluate New Ad Model with A/B Testing Experiment
Evaluate New Ad Model with A/B Testing Experiment Evaluate a New Ads Recommendation Model via Online Experimentation Scenario You have trained a new a...
Design an Experiment to Evaluate New Recommendation Model
This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a rea...
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature
Evaluate Facebook Groups Metrics and Test Comment-Collapsing Feature Facebook Groups Product Health and Feature Experiment Design Context You are eval...
Evaluate emoji reactions launch
A messaging app plans to introduce an emoji reaction feature: users can long-press a message for 5 seconds and attach an emoji instead of sending a te...
Expected impressions per user under random assignment
Random Assignment of Ad Impressions Across Users In an A/B experiment, Y ad impressions are served uniformly at random across X distinct users. Each i...