I interviewed for a Data Scientist - Machine Learning role in San Francisco. The process was long but very pleasant and professional throughout, and I would recommend applying there to anyone who wants to use data science and machine learning at scale with technically talented and friendly folks. Capital One flies under the radar as a tech employer, especially in the Bay Area - but I got the impression that they are serious about investing in top talent. The application consisted of the following steps: 1. Recruiter screen & online application 2. Online coding challenge (fairly straightforward, ~1.5h on HackerRank) 3. Technical phone screen (covered ML topics) 4. Take home data analysis challenge (takes about a day) 5. Full-day onsite interview (6-7 people, in person and VC with Capital One employees in other offices) 6. (After offer) selling calls with hiring manager and 3-4 other people in the Capital One analytics organization In between each step Kaitlyn (the data science recruiter) checked in with me over the phone. IMO she is the most helpful and professional recruiter I've ever encountered as a job seeker. Obviously, it's a huge pain to go through the whole process, but everyone is a real pleasure to talk to and I left with a very positive impression of Capital One's work culture and investment in technology. The pay is competitive as well, and I would have signed had I not received a last-minute offer from a rapidly growing tech unicorn.