Data Scientist Statistics & Math Interview Questions
Practice 471 real Statistics & Math interview questions for Data Scientist roles. From companies including Meta, Capital One, Google, Amazon, Uber.
"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 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...
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 ...
Calculate Conversion Probability for Male Ad Impressions
Calculate Conversion Probability for Male Ad Impressions Scenario You are estimating conversion probabilities for ad impressions. Before knowing a use...
Assess Probability of Heads in Coin Tosses
Assess Probability of Heads in Coin Tosses Probability with Coin Tosses and the Normal Distribution Context Onsite data scientist screening question a...
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...
Compare CECL vs incurred loss
CECL vs. the Prior Incurred Loss Model You are advising a bank's credit-risk modeling team on US GAAP credit-loss estimation for a lending portfolio. ...
Explain Type I and Type II Errors in Hypothesis Testing
Type I and Type II Errors in Hypothesis Testing You are discussing hypothesis testing in the context of a modeling or experimentation project. Define ...
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...
Explain P-value, Confidence Interval, and Multiple Testing Adjustments
Explain P-Value, Confidence Interval, and Multiple Testing Adjustments You are running online A/B experiments to evaluate a new product launch. Assume...
Test Billboard Campaign Conversion Rate Exceeds 60%
Test Whether a Billboard Campaign Conversion Rate Exceeds 60% A billboard campaign sample contains N = 100 users, and 65 of them converted. You want t...
Model Unique Recipients with Poisson Distribution and Test Fit
Model Unique Recipients with a Count Distribution and Test Fit You need to model the distribution of the number of unique recipients each caller conta...
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...
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...
Relate coefficients under linear feature transformation
This question evaluates understanding of linear regression parameter relationships under linear feature transformations, model equivalence and identif...
Analyze distribution of a 3-dice product
This question evaluates probability and statistical inference skills including computation of expectation, properties of discrete order statistics (po...
Explain Type I/II errors vs precision/recall
In the context of binary classification and hypothesis testing: 1) Define Type I error and Type II error. 2) Explain how they relate to false positive...
Relate coefficients under linear feature transformation
Suppose you are fitting a linear regression model and you consider two different feature parameterizations. Original features: x1, x2. Transformed fea...
Compute and interpret quantile loss vs RMSE
This question evaluates competency in probabilistic forecasting evaluation, including understanding of quantile (pinball) loss versus point-error metr...
Estimate Portal’s causal lift on video-call usage
This question evaluates applied causal inference and statistical analysis skills, including defining estimands, designing staggered-adoption differenc...
Compute sample size and test duration
You will run a two-arm A/B test on a signup funnel. Given: baseline conversion p0 = 4.0%; you care about detecting a 10% relative uplift (p1 = 4.4%); ...