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 analyze end-to-end A/B test
This question evaluates experimentation design and analysis competencies for A/B testing, including metric selection, statistical interpretation, inte...
Define success metrics beyond time spent
This question evaluates a data scientist's competency in product analytics and experimentation, focusing on metrics design, cohort-based retention mea...
Select interest thresholds under skewness and cost
Profit-Optimal Threshold Selection from an Interest Score You have a per-user interest_score s ∈ [0, 1] for a new feature. The score distribution appe...
Design an A/B test for WhatsApp call reliability
A/B Test Design: Adaptive Codec for Unstable Networks (WhatsApp Calling) Context You join the Calling organization. A PM proposes enabling an adaptive...
Design experiments and observational alternatives
This question evaluates causal inference, experimental design, metric definition and measurement, power analysis, segmentation, and observational stud...
Measure notification impact and set guardrails
This question evaluates causal inference, experiment design, metric specification and attribution, statistical power calculation, and long-term monito...
Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment
Question You are given two event tables, info_stream_views (one row per viewer–post view, with viewer_id, post_id, relationship ∈ {friend, unconnected...
Determine User Demand for New Video-Calling Feature
Determine User Demand for New Video-Calling Feature Analytics Design: Demand Sizing, Evaluation Metrics, and Trade-offs for a New Video-Calling Featur...
Analyze User-Comment Distribution to Understand Engagement
Analyze User-Comment Distribution to Understand Engagement Meta DSPA Analytics Exercise: Comment Engagement Distribution Context You have three canoni...
Define Success Metrics for Circle Feature Evaluation
Define Success Metrics for Circle Feature Evaluation Scenario Measuring success and allocating resources for a new "Circle" posting feature in a socia...
Analyzing abuse in the content‑reporting system
Measuring Valid Reports and Detecting Abuse in a Reporting System Analyze a user reporting system over a 30-day window. The schema is: reports(report_...
Building a restaurant‑recommendation feature with Nearby Friends signals
Real-time Nearby Eateries Recommendation Meta wants to leverage real-time, opt-in location from Nearby Friends to recommend nearby eateries users migh...
Diagnosing a drop in total ads revenue
Diagnosing a Sharp Drop in Global Ads Revenue You are a data scientist supporting a large ads marketplace. Last week, global ads revenue declined shar...
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 ...
Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs
Evaluate Metrics for Restaurant-Feature Impact and Engagement Trade-offs A large social app launches a restaurant-recommendation feed that may compete...
Evaluate Recommendation Feature with Historical Data Analysis
Offline Evaluation of a Recommendation Feature With Historical Data The company is considering launching a new recommendation-system feature and wants...
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 ...
Evaluate Chatbot Launch: Value, Risks, Impact, Success Metrics
Meta analytics prompt on evaluating a retailer-facing chatbot launch, covering opportunity sizing without A/B testing, user and business metrics, mode...