Meta Data Scientist Statistics & Math Interview Questions
Practice 87 real Statistics & Math 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."
Analyze DAU comments distribution and resampling
Consider the metric comments_per_DAU (number of comments a daily active user makes in a day). a) Shape: Describe and justify the expected distribution...
Quantify launch decision with tests and guardrails
You will formalize the statistical decision rules for the Instagram button experiment described above. Given: baseline exploration rate (p0) = 0.15 pe...
Analyze skewed comments and sampling effects
Right‑Skewed Daily Comments: Location Stats and Sampling Distributions You’re analyzing daily user comments per user, which are right‑skewed count dat...
Model session times and comments with exponential/Poisson
Session Duration Memoryless Assumption and Poisson Comment Counts Setup - We model user session end times with a constant hazard (memoryless) over tim...
Compute posterior for accurate-but-rare classifier
Bayes' Theorem: Interpreting Screening Model Predictions Context You are evaluating a binary screening model that flags "bad" users in a population. T...
Choose group-call participant cap via distribution
Group Call Cap Decision: QoS vs Reach You are deciding whether to cap the maximum number of participants in a group call. You have the past 28-day dis...
Estimate CTR lift with binomial tests and errors
A/B Test Inference, Peeking, and Multiple Comparisons You run a two-arm A/B test of click-through rate (CTR). - Control: n_c = 10,000,000 impressions,...
Model comment counts and detect anomalies
Modeling Heavy-Tailed Comment Counts and Robust Monitoring You are analyzing daily comment counts at the post–day level. The distribution is heavy-tai...
Choose Randomization Unit and Mitigate Network Effects
Choose Randomization Unit and Mitigate Network Effects A/B Test Design for a New Messenger Feature with Network Effects Context You are designing an A...
Identify Probability of Request Originating from Bad User
Identify Probability of Request Originating from Bad User Measuring Abuse in Friend-Requests: Bayes, Identification, and Precision Scenario A social-n...
Determine Probability of Video Selection and Impact Evaluation
Determine Probability of Video Selection and Impact Evaluation Video Recommendation Push: Selection Probabilities, Complements, and Design Choices Sce...
Analyze View Distribution and Recommendation Overlap in Videos
Analyze View Distribution and Recommendation Overlap in Videos Short-Video Platform: View Distribution and Recommendation Overlap Context You are anal...
Describe Facebook User Comment Distribution Shape and Justification
Describe Facebook User Comment Distribution Shape and Justification Characterizing Comments per User on Facebook Context You are analyzing the number ...
Annotating and forecasting a long‑tail distribution
Annotating and Forecasting a Long-tail Distribution You are analyzing daily share counts across many pages on a social platform. The cross-sectional d...
Determine Superiority of Model A Using Hypothesis Testing
Hypothesis Test: Is Model A Better Than Model B? A search feature marks a session as successful only when both relevancy and accuracy binary flags equ...
Analyze Distribution of Daily Page Shares Per User
Engagement Distributions and Cohort Dynamics You are analyzing per-user, per-day engagement. Assume the panel includes all users, inactive days count ...
Calculate Probabilities for Mixed Reviewer Types
Probabilities for Mixed Reviewer Types Two types of reviewers exist in a marketplace: - Lazy reviewers are 20% of reviewers and always give good revie...
Estimate first selection round with/without replacement
This question evaluates understanding of probability and expectation concepts, specifically sampling with and without replacement, per-round success p...
Derive expected meetings given nonempty room
Zero-Truncated Binomial: Random Room Assignment Setup - There are N rooms labeled 1, 2, ..., N. - K meetings are scheduled; each meeting independently...
Model user-level ad impression allocation
Random Assignment of Ad Impressions to Users Context - There are X distinct users and Y ad impressions (X ≥ 1, Y ≥ 0 integers). - Each impression is i...