Capital One Data Scientist Machine Learning Interview Questions
Practice 22 real Machine Learning interview questions for Data Scientist roles at Capital One.
"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."
Compare Logistic Regression and Random Forest in Python
Compare logistic regression and random forest for a binary classification problem implemented in Python. Cover preprocessing pipelines, regularization...
Build House Price Model Responsibly
This question evaluates a data scientist's competencies in end-to-end supervised learning pipeline design—covering train/validation/test strategy, tar...
Evaluate and monitor a credit risk model
Credit-Risk PD Model: Evaluation Priorities and End-to-End Plan Context: You are deploying a consumer credit probability-of-default (PD) model for 12-...
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 robust fraud detection system
Real-Time Card Fraud Detector — End-to-End Design Context - Fraud base rate ≈ 0.2% (severe class imbalance) - Labels arrive with a 14-day delay (e.g.,...
Design robber detection from surveillance video
This question evaluates applied machine learning and computer vision system-design skills, including precise task definition, data and labeling strate...
Diagnose Multicollinearity in Flight Delay Prediction Model
Diagnose Multicollinearity in a Flight Delay Prediction Model You are building a model that predicts whether a flight will be delayed using historical...
Evaluate Models for Credit-Risk Scoring at Capital One
Evaluate Models for Credit-Risk Scoring at Capital One Scenario You are building a production-grade credit-risk scoring model (predicting probability ...
Model flight delays with EDA and explanation
Predicting 15+ Minute Arrival Delays at Scheduled-Departure Time You are building a binary classifier that predicts whether a domestic flight will arr...
Build and validate a binary classifier
ML Pipeline with Grouped CV, Imbalance Handling, Calibration, and Thresholding Context: You have a labeled dataset where the target is is_active_30d (...
Identify Risks and Improve Imputation Class Implementations
Identify Risks and Improve Imputation Class Implementations Scenario You are reviewing three custom Python imputation classes intended for use in a sc...
Build and evaluate donation propensity model
You need a model to maximize expected net revenue from solicitations. Costs: online reach costs $1 per person; gala attendance costs $100 per attendee...
Design a production face recognition system
Design an On-Device Face Recognition System for Mobile Access Control Context You are designing a face-based access control system for mobile devices ...
Present and defend your data challenge end-to-end
10–12 Minute Interviewer-Driven Walkthrough: Recent Data Challenge Provide a concise, structured walkthrough of a real project you led end-to-end. Ass...
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 ...
Evaluate OutlierHandler Class for Code Quality and Testing
Code Review: OutlierHandler and Imputer Classes You are given a Python module that implements one OutlierHandler class and three Imputer classes for p...
Build and evaluate airline delay prediction model
You are given several CSVs for the classic airline delay challenge with columns like flight_date, carrier, flight_num, origin, dest, sched_dep, sched_...
Explain MSE vs MAE, AUC, and imbalance handling
ML interview: losses, metrics, class imbalance, and thresholding Answer all parts concisely and precisely. 1) MAE vs. MSE in regression When would you...
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...
Resolve a Mismatch Between Regression and Classification Metrics
An assessment asks you to “train a regressor on imbalanced data and evaluate it with precision and recall.” Explain why that request is internally amb...