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."
Personalize Ad Delivery Using Machine Learning Techniques
Personalize Ad Delivery Using Machine Learning Techniques Personalized Delivery of Three Ad Categories Scenario You operate a consumer feed with a sin...
Evaluate Python Class Design in Data Pipeline
Evaluate Python Class Design in Data Pipeline Scenario You are reviewing a Python class used in an ML/data pipeline that follows the scikit-learn-styl...
Explain Key Terms in Model Evaluation for Fraud Detection
Explain Key Terms in Model Evaluation for Fraud Detection Model Evaluation Terminology and Business Trade-offs Scenario Phone screen focused on unders...
Predict User Churn with Effective Modeling Techniques
Predict User Churn with Effective Modeling Techniques Predicting User Churn for a Subscription App Context You are building a model to predict which a...
Design a Real-Time Personalized Ad Selection System
Design a Real-Time Personalized Ad Selection System End-to-End ML System Design: Real-Time Ad Selection Context You need to design a real-time, data-d...
Design Push-Notification System for Airport Surge Pricing
Design Push-Notification System for Airport Surge Pricing Designing Airport Surge Push Notifications for Drivers Context You are building a real-time ...
Address Missing Income Bracket in California Housing Data
Address Missing Income Bracket in California Housing Data ML Case: Missing Lowest-Income Bracket in California Housing Data Context You're building a ...
Compare RNNs and Transformers for Long-Sequence Text Classification
Compare RNNs and Transformers for Long-Sequence Text Classification Scenario You are designing a long-sequence text classification system under tight ...
Explain unsupervised fraud and evaluation
Explain unsupervised fraud and evaluation Unsupervised Fraud Detection: Methods, When to Use Them, and How to Evaluate Without Reliable Labels Context...
Discuss logistic regression limitations for PD
Discuss logistic regression limitations for PD Limitations of Logistic Regression for PD (Probability of Default) Modeling Context You are building a ...
Explain PD model validation steps
Explain PD model validation steps Validate a Newly Developed Probability of Default (PD) Model Context Assume you have built a retail credit Probabili...
Handle Missing Values and Choose ML Algorithms Wisely
ML Interview: Core Modeling Concepts You are in a technical phone screen for a Data Scientist role. Assume primarily tabular datasets and address both...
Optimize Email Strategy for New Prime Video Series Launch
Optimizing Email Strategy for a New Prime Video Series Launch You are designing, deploying, and evaluating ranking models and marketing emails for Pri...
Handle Missing Values and Outliers in Machine Learning
Handling Missing Values and Outliers in Machine Learning You are building classification and regression models on tabular business data with missing v...
Compare Random Forests and Boosted Trees: Bias, Variance, Speed
Compare Random Forests and Gradient-Boosted Trees You are choosing and configuring tree-based ensemble models for a product-facing data-science proble...
Optimize Feature Selection and Handling in Machine Learning Models
Optimize Feature Selection and Handling in Machine Learning Models You are building a customer propensity model to predict whether a user will purchas...
Build Accurate Energy Consumption Prediction Model for Utilities
Build an Energy Consumption Prediction Model for Utilities You need to build and productionize a regression model that predicts daily energy consumpti...
Evaluate Guangzhou performance with limited data
You have built an autonomous-driving evaluation system using a large amount of labeled data from Beijing. The company now wants to operate in Guangzho...
Compute Random Walk Hitting and Return Probabilities
This question evaluates understanding of probability theory and stochastic processes, specifically simple symmetric random walks, expected hitting tim...
Model Driver Acceptance Probability
This question evaluates a candidate's competency in production machine learning system design and operationalization, including label definition and u...