Principal Data Scientist applicants have rated the interview process at Capital One with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 44% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Principal Data Scientist roles take an average of 40 days to get hired, when considering 9 user submitted interviews for this role. To compare, the hiring process at Capital One overall takes an average of 26 days.
Common stages of the interview process at Capital One as a Principal Data Scientist according to 9 Glassdoor interviews include:
Phone interview: 36%
One on one interview: 21%
Skills test: 21%
Group panel interview: 14%
Other: 7%
Here are the most commonly searched roles for interview reports -
Was a fair process in my opinion. First there were a couple phone interviews with the recruiter and hiring manager; then, a data challenge; and finally, for the on-site, there were two technical interviews, one analyst, and one team-fit.
Interview questions [1]
Question 1
If you make it to the on-site look at the PDF they provide for helpful info on the analyst interview — seek similar questions/interview paradigms over the internet.
I went through initial HR screen and online assessment, both were on the easy side. OA is data wrangling with pandas, CodeSignal. Waiting for recruiting manager interview. nothing too crazy.
Interview questions [1]
Question 1
describe my experience, OA has basic stuff like merge, concat, sort and count.
I applied through an employee referral. The process took 2 weeks. I interviewed at Capital One
Interview
First round is the Hiring manager call
Where talked about experience and matching skill set
Then online assessment- but the tool is outdated and hard to use
Timed and protocols
Interview questions [1]
Question 1
Your data science experience and previous projects
I applied through an employee referral. I interviewed at Capital One in Oct 2024
Interview
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…
Interview questions [1]
Question 1
1. Tell me about a time when the project didn't went as expected