Capital One Data Scientist Machine Learning Interview Questions
Master your tech interview with our curated database of real questions from top companies.
Evaluate OutlierHandler Class for Code Quality and Testing
Code Review: OutlierHandler and Imputer Classes Context You are given a Python module that implements one OutlierHandler class and three Imputer class...
Diagnose Multicollinearity in Flight Delay Prediction Model
Flight Delay Prediction — Data Quality, Modeling Choice, and Multicollinearity Scenario You have historical flight operations and weather data and nee...
Evaluate Models for Credit-Risk Scoring at Capital One
Scenario You are building a production-grade credit-risk scoring model (predicting probability of default within a fixed horizon) for Capital One. The...
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...
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...
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_...
Design ML deployment with GitHub and Jenkins
Design an end‑to‑end ML deployment for a prediction model using GitHub and Jenkins: 1) Propose a repo layout (src/, features/, data_contracts/, tests/...
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 ...
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.,...
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 (...
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...
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...
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-...
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 ...
Identify Risks and Improve Imputation Class Implementations
Scenario You are reviewing three custom Python imputation classes intended for use in a scikit-learn workflow. Each class fills missing values column-...
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-style fit/transform pattern. Assume a typical tran...