Data Scientist Machine Learning Interview Questions
Practice 399 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."
Evaluate Classifier with Precision, Recall, and Fairness Metrics
Offline Evaluation Framework for a Harmful-Content Video Classifier Context You are evaluating a binary classifier that assigns each video a score (in...
Optimize XGBoost for Predicting Marketing Outcomes
Gradient-Boosted Trees for Marketing Outcome Prediction Context You’re building a model to predict a marketing outcome (e.g., likelihood of conversion...
Understand Bias-Variance Trade-off and Regularization Techniques
Rapid-Fire ML Fundamentals — Core Concepts Context You are in a rapid-fire onsite session with a CIO focused on machine-learning fundamentals for a Da...
Predict User Churn with Effective Modeling Techniques
Predicting User Churn for a Subscription App Context You are building a model to predict which active subscribers are likely to churn soon so the team...
Evaluate Fake-Account Classifier with Precision and Recall Metrics
Evaluating a Fake-Account Classifier in Production Scenario You have trained a model that flags fake accounts. Leadership wants clear, defensible evid...
Model Shot Success by Location
You need to build a model that predicts the probability that a shot becomes a goal for every location on a soccer field. Assume you have historical sh...
Predict Seller Intent From Subscription Data
You are given a take-home dataset, seller_intent_take_home_dataset.csv, containing about 5,000 new subscription records from a website-building platfo...
Address Overfitting with L1 Regularization in Regression
Linear Regression with Many Predictors and Few Observations Scenario You fit an ordinary least squares (OLS) linear regression with 500 predictors (fe...
Handle Missing Values and Outliers in Machine Learning
Technical Screening: Model Development Discussion Context You are building classification and regression models on tabular business data with missing ...
Build Predictive Model for Product Metric: Steps Explained
Scenario You are interviewing for a Data Scientist role and are asked to design a predictive model for a key product metric in a consumer app (e.g., p...
Identify and Fix Predictive Model Performance Gaps
Model Review: Month Encoding, Feature Scaling, and Imbalanced Data Context You are auditing an existing predictive model for operational performance. ...
Design Framework for Robust House-Price Prediction Model
Model Robustness, Diagnostics, Random Forests, and Large-Scale Regression Context You are building and evaluating a supervised model to predict reside...
Minimize L1 Distance with k Cluster Centers in Array
1D k-Center (Minimax L1) Clustering Problem You are given an array of n integers on a number line and an integer k (1 ≤ k ≤ n). Place k cluster center...
Develop a Restaurant-Recommendation Engine with Logistic Regression
Restaurant Recommendation Engine: Metrics, Features, Model, and Evaluation Scenario You are designing a restaurant recommendation engine for a social ...
Choose evaluation metrics for imbalanced risk model
Cost-Sensitive Fraud Detection: Thresholding, Metrics, and Calibration Assume a binary fraud classifier outputs calibrated probabilities p = P(y=1|x)....
Apply reinforcement learning to product decisions
Session‑level recommendations have stateful effects and feedback loops affecting long‑term retention. a) Formulate the problem as an MDP (state, actio...
Explain SVM kernels and complexity
Support Vector Machines – Core Concepts and Practice You are interviewing for a Data Scientist role. Answer the following about Support Vector Machine...
Compare trees, RF, and gradient boosting
Decision Trees, Random Forests, and Gradient-Boosted Trees You are interviewing for a Data Scientist role and are asked to compare common tree-based m...
Choose and justify ML algorithms for tabular prediction
You must choose an algorithm for tabular prediction of arrival delay under these constraints: 500k rows, 120 features (mixed numeric/categorical with ...
Diagnose location-sorted recommender causing revenue drop
Eats recommendations were changed to rank items primarily by distance to the user; after launch, add-to-cart rate rose but revenue per session fell. D...