First, there’s a 30-minute call with the hiring manager, focusing on background, experience, and role fit, with no technical questions. Next is a take-home assessment, to be completed within 7 days, where you’ll build an end-to-end data science solution from data loading to model creation and evaluation. Successfully completing this makes you eligible for the final interview stage, called 'Power Day.' Power Day consists of four 1-hour interviews: Case Study: Includes questions like assessing if a car company should launch a new product. Check out the 'Hacking the Case Interview' YouTube channel for tips. Roleplay: You’ll receive a presentation (PDF/PPT) to study for 10 mins and explain and discuss with the interviewer about what insights you can establish from that. Technical: A live coding interview where Python and shell scripting skills are tested. Behavioral: Covers job-fit questions and situational questions like 'Tell me about a time when…

I interviewed for the Principal Data Scientist role at Capital One. I only made it through the 30-minute Technical Interview round; I did not advance to the take-home project or all-day interview. I wrote down every question I was asked - it was mostly just vague machine learning/statistics questions.