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."
Decide if subgroup increases imply overall increase
TikTok Time: Subgroup Increases vs Overall Average (Simpson's Paradox) You are analyzing average daily time spent on TikTok by gender (male, female) a...
Act when A/B result is not significant
A/B Test Planning and Decision-Making for a 60s Video Change Context: You are evaluating a product change with completion rate as the primary metric. ...
Interpret and validate regression with interactions
Modeling 7-day Retention with LPM and Logistic Regression Context You have user-level data with a binary outcome retained_7d (1 if the user is active ...
Choose threshold under costs and uncertainty
Incentive Targeting: Threshold Selection, Uncertainty, Calibration, and Drift Context: You deploy a model that sends an incentive to predicted positiv...
Derive no-click probability and sketch implications
Click Probability Across Repeated Impressions Context: We show A impressions of the same item to a user. Unless otherwise stated, each impression is a...
Implement robust one/two-sided p-value function
Implement p_value(stat, alternative, dist, df=None) Context: You're building a small, production-quality helper to compute p-values for common one- an...
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,...
Interpret A/B results with p-values and uncertainty
This question evaluates proficiency in statistical inference for A/B testing, covering confidence intervals, p-values, multiple-testing correction (Be...
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...
Diagnose and fix selection bias in experiments
Selection Bias With Opt-in Discount Banner Context You observe that users can opt in to see a discount banner (treatment = 1 if they opted in and saw ...
Determine Probability of Fourth Good Response After Three Successes
Determine Probability of Fourth Good Response After Three Successes Evaluating Good-Response Rates for Chatbot Outputs Context You are evaluating chat...
Explain Statistical Concepts in A/B Testing and Corrections
Explain Statistical Concepts in A/B Testing and Corrections A/B Testing: p-values, Power, and Error Rates with Multiple Comparisons Context You are re...
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...
Differentiate P-value and Confidence Interval in Statistics
Differentiate P-value and Confidence Interval in Statistics Statistics Knowledge Check (Onsite Data Scientist) Task Explain core inferential statistic...
Model Feature Adoption Probability for Users
Model Feature Adoption Probability for Users Feature Adoption Probability Modeling Context You are analyzing adoption of a new wallet feature. Each of...
Determine Impact of New Chat-Notification on User Engagement
Determine Impact of New Chat-Notification on User Engagement Scenario A product team wants to determine whether a new chat-notification design increas...
Determine Probability of Friend Request Being Fake
Determine Probability of Friend Request Being Fake Scenario You operate a platform where 95% of accounts are real and 5% are fake. Fake accounts send ...
Identify P-Value Limitations and Complementary Approaches
Identify P-Value Limitations and Complementary Approaches A/B Testing: Limits of P-values and Better Decision Practices Scenario Your team is running ...
Explain Statistical Outputs to Non-Technical Stakeholders
Explain Statistical Outputs to Non-Technical Stakeholders A/B Test Dashboard Interpretation and Core Statistics Concepts Scenario You are reviewing an...
Approximate a percentile from buckets
Estimate a percentile from histogram bucket summaries by finding the cumulative-count bucket, avoiding midpoint bias, interpolating within the bucket ...