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."
Evaluate Marketing Campaign's Click-Through Rate Effectiveness
Evaluate Marketing Campaign's Click-Through Rate Effectiveness Scenario A campaign currently shows a click-through rate (CTR) of 4.2%. Leadership asks...
Calculate Expected Comments and Confidence Interval Analysis
Calculate Expected Comments and Confidence Interval Analysis Scenario You are analyzing the distribution of comment counts per post for a social platf...
Analyze Video View Distribution: Mode, Median, Mean Comparison
Analyze Video View Distribution: Mode, Median, Mean Comparison Scenario You are analyzing user engagement on a short-video sharing product. The team n...
Explain Type I vs. Type II Errors in A/B Testing
Explain Type I vs. Type II Errors in A/B Testing A/B Testing Errors and Estimation Under Skewed Metrics Context You are analyzing an A/B experiment fo...
Probability a negative review came from a lazy reviewer
Bayesian Posterior: Negative Review and Lazy Reviewer Reviewer types in the population: - Lazy reviewers are 20% of reviewers and never leave negative...
Compare Ad-Insertion Strategies: Expected Ads and Probabilities
Newsfeed Ad-Insertion Strategies You are evaluating two ways to insert ads into a user's newsfeed. A user views a contiguous sequence of posts. - Stra...
Identify Probability Distributions for Modeling Ad Clicks
Identify Probability Distributions for Modeling Ad Clicks You are interviewing for a data scientist role on an ads team. The interviewer asks you to d...
Determine Posterior Probability of Bad User Prediction
Posterior Probability for a Bad-Actor Classifier You are evaluating a binary classifier that flags bad actors among users. Given: - 5% of users are tr...
Calculate Expected Meetings in Randomly Assigned Rooms
Expected Meetings in Randomly Assigned Rooms You are solving two probability questions about room occupancy. Constraints & Assumptions - In the first ...
Estimate Lift and Significance in Facebook Ad Campaigns
Estimate Lift and Significance in Facebook Ad Campaigns An advertiser is running campaigns on Facebook and wants to know whether ads increased convers...
Compute Bayes probability for fake accounts
This question evaluates Bayesian reasoning and probabilistic modeling skills, including conditional probability, base-rate effects, detector character...
Compute posterior fake probability using Bayes' rule
A platform runs an automated detector to flag fake accounts. - Prior probability an account is fake: \(P(F)=0.02\). - True positive rate (sensitivity)...
Diagnose a non-significant experiment outcome
A/B Test Interpretation, Power, and Decision-Making Under Asymmetric Loss Context You ran a two-sample A/B test on a primary mean metric (two-sided t-...
Contrast OLS, DiD, and PSM assumptions
This question evaluates proficiency in causal inference and econometric methods, specifically the ability to contrast OLS, two-way fixed-effects DiD, ...
Analyze ad targeting expectations and distributions
Ads Profit, Variance Decomposition, and Exponential Timing Context: You run an ad slot with two user segments. On each eligible page view (impression ...
Compare first-score vs all-scores estimators
This question evaluates statistical estimation and inference competencies—specifically understanding estimator definitions, weighting and sampling eff...
Characterize metric distribution and quantiles
KPI Analysis: Per-Video Watch Time (seconds) You are evaluating a pilot dataset for the KPI "per‑video watch time" (in seconds). The dataset (n = 20) ...
Compute p-values, power, and adjust errors
Statistics Interview Task (Onsite) You are evaluating a product experiment and related analytics questions. Answer precisely, showing calculations and...
Set the Group Call participant cap
We must set a maximum participants cap K for Group Calls. You have telemetry at the call level: calls(call_id, start_ts, participants_count, video_on_...
Quantify base-rate dilution in CTR
Weighted-Average CTR and Volume Requirements You are assessing the impact of introducing a new high-CTR event notification into an existing stream of ...