Data Scientist Machine Learning Interview Questions
Practice 434 real Machine Learning interview questions for Data Scientist roles. From companies including Meta, Amazon, Google, Capital One, TikTok.
"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."
Build a model to predict wine quality
Modeling task: Predict wine quality from a CSV You are given a clean CSV dataset about red wine. The target (dependent) variable is: - quality (intege...
Compute value of card guessing game
This question evaluates probabilistic reasoning, expected-value computation, sequential decision-making, and the ability to reason about optimal strat...
How would you build UberEats ranking?
This question evaluates machine learning and recommender-systems competencies for ranking in a food delivery marketplace, covering problem formulation...
Explain normal distribution and standardize it
This question evaluates understanding of the Gaussian (normal) distribution and the concept of standardization, assessing competencies in probability ...
Implement and Tune KNN Classifier
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Build a baseline linear regression pipeline
Build a baseline linear regression pipeline Task: Baseline Linear Regression Pipeline (Python) Context You are given a tabular dataset in a pandas Dat...
Detect and Reduce Spammy Friend Requests Effectively
Detect and Reduce Spammy Friend Requests Effectively Detecting Spammy Friend Requests Context Assume a consumer social platform where users can send f...
Identify Algorithms for Detecting Malicious Duplicated Content
Identify Algorithms for Detecting Malicious Duplicated Content Detecting Malicious Duplicated Text (DOT) Scenario You are selecting technical approach...
Explain K-Fold Cross-Validation and Its Trade-Offs
Explain K-Fold Cross-Validation and Its Trade-Offs Technical Phone Screen: Cross-Validation Task You are interviewing for a Data Scientist role. Expla...
Describe Building and Deploying a Machine Learning Model
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How to Architect a Personalized Ads Serving System
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Explain Decision-Tree Training and Clustering Algorithms
Explain Decision-Tree Training and Clustering Algorithms Decision Trees and Clustering: Training Mechanics and Core Principles Context Technical/phone...
Identify Features for Fake News Detection on Facebook
Identify Features for Fake News Detection on Facebook Design a Machine-Learning System to Flag Fake News on Facebook Scenario An increase in fake news...
Explain Causal-Inference Techniques in Your Machine Learning Project
Explain Causal-Inference Techniques in Your Machine Learning Project Technical Deep-Dive: ML Project With Causal Inference Prompt Walk me through one ...
Leverage Existing Model for Low Credit Score Applicants
Leverage Existing Model for Low Credit Score Applicants Expanding a Credit-Risk Model to a New Score Band Scenario Your current probability-of-default...
Optimize Churn Prediction: Feature Engineering and Model Selection
Optimize Churn Prediction: Feature Engineering and Model Selection Weekly Churn Prediction (10M users): Feature Engineering, Model Choice, Explainabil...
Diagnose Bias–Variance Trade-off in Supervised Learning
Diagnose Bias–Variance Trade-off in Supervised Learning Supervised Learning Review (Customer-Facing Ranking Context) You are designing and evaluating ...
Expected Wait for a Bus That Runs Late Half the Time
Buses on a certain route are scheduled to arrive at your stop every $x$ minutes. Independently for each bus, the bus arrives exactly on schedule with ...
Quant Probability Brainteasers: Pizza Bounds, Coin Scores, Ant on a Cube, Shoelace Loops, and Paint Mixing
You are in a quantitative research interview. The interviewer works through a series of short probability puzzles and expects you to reason out loud, ...
Determine Features for Effective Hashtag Recommendations
Hashtag Recommendation System Design You are designing a hashtag recommendation system for a social-media platform. Given a user composing post conten...