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 Product-Ranking Algorithm with Precision and Recall Metrics
Scenario Instagram Shopping wants to improve its product‑ranking algorithm for the shopping feed. The goal is to select and order products for each us...
Design Comprehensive Recommendation System for Spokeo Features
Design an End-to-End Recommendation System for Spokeo Scenario You are designing a new recommendation system for Spokeo (a people-search platform) to ...
How to Architect a Personalized Ads Serving System
Full-Funnel Ads Serving System Design Scenario You are asked to architect a full-funnel advertising platform that serves personalized ads to users on ...
Describe Your Machine Learning Project Experience
Machine Learning Experience: Walk Through a Project Context You are interviewing for a Data Scientist role. In an HR screen, you’re asked to concisely...
Design an ML Model for Interview Recommendation Pipeline
Scenario You are designing and deploying an ML model that mirrors a real-world recommendation pipeline serving a large product catalog with strict lat...
Identify Unsupervised Techniques for Detecting Fraudulent Transactions
Unsupervised Fraud Detection: Modeling and Evaluation Without Labels Scenario You receive millions of historical transactions with no fraud labels. Ma...
Build a predictive model from TurboTax sample data
You receive a TurboTax sample dataset (user-level and/or session-level) and are asked to build a predictive model. Task 1. Pick a concrete prediction ...
Identify top exposures and mitigate
Portfolio Risk Identification and Mitigation Proposal Context You are evaluating a commercial/corporate lending portfolio. Assume you have loan-level ...
Compute EL and RWA from loan data
Task: Compute Portfolio EL and RWA from Loan-Level PD, LGD, EAD Context You are given an anonymized, loan-level dataset with at least the following fi...
Explain key ML/stats concepts
You are taking an ML/Stats screening with conceptual multiple-choice questions. Answer the following: 1. CNN vs. RNN - What kinds of input structur...
Explain variance reduction in random forests
Consider a random forest (or bagged ensemble) that predicts at a fixed input \(x\) by averaging \(B\) tree predictions: \[ \hat f_B(x) = \frac{1}{B}\s...
Design Real-Time Credit Card Fraud Detection System
Real-Time Credit-Card Fraud Detection System Design Scenario You are designing a real-time fraud detection system for an online payments platform that...
Engineer Features to Enhance Smartphone Battery Life Prediction
Battery Life Prediction with Sparse History Problem You are given sparse discharge traces that record battery percentage over elapsed time for prior u...
Build and iteratively improve sentiment classifier
You need to build a sentiment classification model (e.g., positive/neutral/negative) for user-generated text. You already shipped an initial version, ...
Identify a classic bagging algorithm
Multiple choice: Bagging Which of the following algorithms is a classic example of bagging (bootstrap aggregating)? A. Random Forest B. Gradient Boo...
Evaluate Guangzhou performance with limited data
Question You have built an autonomous-driving evaluation system using a large amount of labeled data from Beijing. Now the company wants to operate in...
Detect and Reduce Spammy Friend Requests Effectively
Detecting Spammy Friend Requests Context Assume a consumer social platform where users can send friend requests (optionally with a short message). The...
Identify Fake Accounts Using Machine Learning Techniques
Scenario You are a data scientist at Meta. Fake accounts (bots, spam, scams, impersonation, coordinated inauthentic behavior, and compromised legitima...
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-driven ad selection system that personalizes ads for ...
Design a System to Recommend Local Restaurant Profiles
Recommending Local Restaurant Pages in the News Feed Context Design a non-ads recommendation system within a large social media app to surface local r...