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."
Build Churn Prediction and Survival Models
Problem Statement You are a Data Scientist working on retention. Describe, end to end, how you would build models to predict and understand customer c...
Predicting the Next Elevator Call Location
Predicting the Next Elevator Call Location You are a data scientist for a building-operations company. To cut resident wait times, the operations team...
Build a Churn Prediction Model
You are asked to build a churn prediction model for a consumer product. The business wants to proactively identify users who are likely to churn so th...
Explain Core ML Concepts
You are interviewing for a senior AI/ML-oriented Data Scientist role at a financial institution (J.P. Morgan). This is the "ML fundamentals" portion o...
Evaluate Promotions for Uber Eats Users
Uber Eats wants to send promotions or coupons to its users (for example, "$5 off your next order" or "20% off, minimum basket $15"). You are the data ...
Explain Logistic Regression, Backprop, and Adam
Walk through the mathematical foundations that connect logistic regression to modern deep-learning training. The interviewer expects you to write the ...
Evaluate NLP Classification Models
You are interviewing for a Data Scientist internship at Amazon. The interviewer asks you to walk through how you think about an NLP classification pro...
Solve Dice Probability and Matrix Questions
Answer the following quantitative interview questions. 1. Six fair six-sided dice are rolled independently. Let S be the sum of the six face values. ...
Debug and fix a PyTorch Transformer training loop
Minimal Causal LM Debugging and Optimization You are given a tiny causal decoder-only language model implemented in PyTorch. It appears to "train" but...
Analyze Temperatures and Update Regression
You are given historical daily temperature data for New York City and several nearby towns. Each row contains a date, the NYC temperature, and the tem...
Design a Real-vs-Fake DNA Classifier
Question You are given DNA sequences over the alphabet {A, C, G, T}, where sequence lengths may vary. You have: - a small labeled dataset containing b...
Solve Probability and Statistics Questions
This is a quantitative interview covering probability, statistics, and modeling fundamentals. Answer each part below. Parts are independent and may be...
How would you design delay and watchlist models?
You may be asked one or both of the following machine-learning case questions: 1. Flight-delay prediction case An airline wants a model that predicts ...
Design a Homepage Store Recommender
You are designing the homepage store recommendation system for a food-delivery app similar to DoorDash. When a user opens the app, the online request ...
Explain core probability and ML statistics concepts
Answer the following short theory questions (you may use equations and brief examples): Probability 1. You roll two fair six-sided dice. - What is ...
Explain KNN and how to tune it
K-Nearest Neighbors (KNN) fundamentals You are interviewing for a Data Scientist role. 1. Explain how the KNN algorithm works for both classification ...
Explain Feature, Model, and Validation Choices
You are interviewing for a Data Scientist role. Describe how you would approach an end-to-end machine learning project on large-scale data. In your an...
Build cold-start restaurant ratings
Uber Eats wants a cold-start rating system for newly onboarded restaurants before they accumulate enough real reviews. You are asked to design the mod...
Design multimodal deployment under compute limits
You need to answer a set of questions related to multimodal model deployment and post-training optimization in an interview. Provide systematic explan...
Implement NumPy neural-network layers
You are given a neural-network coding task in NumPy. Let X be a batch input matrix of shape (B, d_in), W a weight matrix of shape (d_in, d_out), and b...