Amazon Data Scientist Machine Learning Interview Questions
Practice 39 real Machine Learning interview questions for Data Scientist roles at Amazon.
"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."
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...
Optimize Predictive Analytics: Feature Engineering to Model Evaluation
End-to-End Predictive Analytics Project Walkthrough You are interviewing for a Data Scientist role. The interviewer asks you to describe a predictive ...
Design a robust traffic forecasting pipeline
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Choose Between Fine-Tuning and RAG for Client Chatbot
Choose Between Fine-Tuning and RAG for Client Chatbot Scenario You are building a client-facing chatbot that must answer questions grounded in the cli...
Design an ML Model for Interview Recommendation Pipeline
Design an ML Model for Interview Recommendation Pipeline Scenario You are designing and deploying an ML model that mirrors a real-world recommendation...
Optimize XGBoost for Predicting Marketing Outcomes
Optimize XGBoost for Predicting Marketing Outcomes Gradient-Boosted Trees for Marketing Outcome Prediction Context You’re building a model to predict ...
Explain Decision-Tree Training and Clustering Algorithms
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Design a Machine Learning Recommendation System Pipeline
Design a Machine Learning Recommendation System Pipeline System Design: End-to-End ML Recommendation System Scenario You are building an end-to-end ma...
Evaluate RAG System Accuracy and Cost Control Strategies
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Diagnose and fix underperforming ML model
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Build a package-allocation model for couriers
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Compare Regularization Techniques and Their Use Cases
Compare Regularization Techniques and Their Use Cases This technical phone screen asks about model evaluation, regularization, and regression basics f...
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...
Explain Overfitting and Underfitting in Machine Learning
Explain Overfitting and Underfitting in Machine Learning ML Fundamentals and Computer Vision: Core Concepts Instructions You are interviewing for a da...
Design a Churn Model: Handle Missing Data and Justify
Design a Churn Model: Handle Missing Data and Justify Churn Prediction on Messy Subscription Data Context You are building a binary churn-prediction m...
Design an Automated Home-Price Valuation Model
Design an Automated Home-Price Valuation Model Scenario You are building an automated house-price valuation service for a real-estate platform. Questi...
Optimize precision–recall under class imbalance
You have extreme class imbalance (positive rate ~1%). You score 12 examples as follows (id, true_label, score): A,1,0.92; B,0,0.90; C,0,0.88; D,0,0.70...
Decide standardization, sparse numerics, correlated features
You are given a tabular dataset for supervised learning with features: F1 (counts, mostly small integers with many zeros), F2 (monetary amounts in dol...
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...