Senior Data Scientist applicants have rated the interview process at Capital One with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 60.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Senior Data Scientist roles take an average of 11 days to get hired, when considering 8 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 Senior Data Scientist according to 8 Glassdoor interviews include:
Phone interview: 29%
One on one interview: 29%
Group panel interview: 14%
Presentation: 14%
Skills test: 14%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Capital One (Nottingham, England) in Dec 2018
Interview
Phone interview with HR, phone interview with member of the team, case study with supplied data set, in person technical interview to review case study, statistics, and general DS problem.
Interview questions [1]
Question 1
You're building a presentation based on someone else's general EDA. Which of these graphs/metrics would you include?
Smooth, standardized interview process with 1 OA, 1 Hiring Manager round, 4 rounds for Power Day (Case Study, Technicals, Role Play, Job Fit).
You have one HR supporting throughout, generally quick to get response.
1. Screening Call
2. Hiring Manager (Team Matching)
3. Power Day
Recruiter delayed scheduling the power day and the role got filled. Then they took even longer to match me with another team. Process took several months.
Interview questions [1]
Question 1
What is the difference between boosting and bagging?
I applied through a recruiter. I interviewed at Capital One (New York, NY) in Jun 2025
Interview
After recruiter round, there was a hiring manager round with discussions around your resume and projects. After this there is a take home assessment which is a data science project. Post which there is a loop rounds day focusing on coding, statistics, ML DS Breadth and Business Case study
Interview questions [1]
Question 1
Linear regression, EDA, statistical analysis
How does a transfoer architecture work, what is self attention