Intern Data Scientist Interview Questions
Data science internship interviews reward fundamentals over flash. These questions were reported by candidates interviewing for DS intern roles, so they cluster around what intern loops actually ask: probability and statistics, SQL queries, basic machine learning concepts, and lightweight, case-style problems that check whether you can reason about a metric or an experiment. The bar is approachable — interviewers know you don't have years of industry experience and listen for clear thinking and solid fundamentals rather than production ML. There are 40+ real, recently reported DS intern questions here across stats, SQL, ML, and case rounds, and most come with a worked solution so you can check your reasoning.
"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."
Solve probability and game-theory puzzles
You are interviewing for a quant trading internship. Work through the following probability and game-theory puzzles. There is no need to answer instan...
Explain Logistic Regression, Backprop, and Adam
Walk through the mathematical foundations that connect logistic regression to modern deep-learning training. The interviewer expects you to write the ...
Answer core probability and statistics questions
Answer the following interview-style probability/statistics questions. Provide formulas and short explanations. 1) Bayes’ rule: State Bayes’ rule. Giv...
Evaluate NLP Classification Models
You are interviewing for a Data Scientist internship at Amazon. The interviewer asks you to walk through how you think about an NLP classification pro...
Answer Amazon Leadership Principle Scenarios
In an Amazon Data Scientist intern virtual interview, answer behavioral questions using the STAR method and tie each story to Amazon Leadership Princi...
Estimate ATE of personalization on streaming
You are given a user-level dataset from an online experiment that randomized personalization (treatment) vs no personalization (control). Assume one r...
How would you answer a DS video interview?
Question You are interviewing for a Data Scientist Intern role at TransUnion. The technical screen is an asynchronous (one-way) video interview: you a...
How would you forecast bike demand?
This question evaluates a candidate's competency in time-series forecasting, feature engineering, model selection, and evaluation for short-horizon de...
Alternating Die-Roll Game: Optimal Accept/Reject Strategy
Two players, A and B, play the following game with a fair 21-sided die whose faces are labeled with the integers $-10, -9, \ldots, 9, 10$ (one integer...
Linear Interpolator with Extrapolation
Linear Interpolator with Extrapolation You are given n knot points in a 2D coordinate system, where knots[i] = [x_i, y_i]. All x-coordinates are disti...
Build a Housing Price Prediction Model from Historical Data
You are given a historical dataset of residential real-estate transactions — sale records with property attributes, location information, and sale dat...
Why use the t-statistic?
This question evaluates understanding of the t-statistic as a standardized test measure connecting effect size, variance, and sample size, and probes ...
Solve core probability and statistics questions
This question evaluates proficiency in core probability and statistical inference—covering Bayes' rule, causal controls in regression, the Central Lim...
Daily Temperatures by Town: Linear Models to Predict NYC Temperature
Daily Temperatures by Town: Linear Models to Predict NYC Temperature You are given a dataset of historical daily temperature readings for New York Cit...
Fit logistic regression and return top features
You are given: - X: a 2D numeric array where each row is a feature and each column is an observation (shape: n_features x n_samples). - feature_names:...
Design and Test a New Feature
You are interviewing for a Data Scientist internship at Uber. Assume the Uber rider app already includes standard functionality such as booking a ride...
Implement four DS coding tasks
You are completing a CodeSignal-style assessment (Python or R). Implement solutions for the following four independent questions. 1) Two-sample z-test...
Compute ITT, TOT, and LATE with noncompliance
In the same personalization experiment, not everyone assigned to treatment actually receives personalization (noncompliance). You are given user-level...
Estimate ATE, ITT, and TOT from experiment
This question evaluates a data scientist's competency in causal inference and experimental analysis, specifically the estimation and interpretation of...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...