Capital One Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 162 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Capital One.
Capital One
Data Scientist Intern
Intern Average Positive experience No offer 2 rounds
Interview process
Recruiter call Phone screen
Interview formats
Behavioral Technical
Phone Interview,I think I bring a combination of entrepreneurial drive, data-first thinking, and a deep understanding of what it takes to build something from the ground up. At A Round Entertainment, I didn’t just co-found a live events brand—we also built an internal concert prediction model that helped promoters make smarter decisions around ticket pricing, demand forecasting, and audience targeting. I worked directly on sourcing data, building the initial models, and turning insights into action. That experience taught me how to be scrappy, analytical, and results-oriented. Beyond the numbers, I learned how to pitch ideas, iterate fast, and align different stakeholders toward a shared vision. I believe that mindset—test, learn, improve—is one I’d bring to your team as well. Whether it’s launching new products, improving workflows, or uncovering hidden opportunities in data, I’m excited to roll up my sleeves and help drive real results
Confirmed questions1 question
- Can you walk me through your resume and past experiences?
Capital One
Data Scientist
Staff Average Neutral experience No offer 5 rounds
Interview process
Recruiter call Take home Phone screen Onsite Presentation Background check
Interview formats
Coding Behavioral Case Presentation Technical
The interview process kicked off with a recruiter call, covering the usual ground. Next, I was given a take-home coding challenge focused on credit card fraud, with a week to complete it. Following that, there was a 1-hour casual chat with the hiring manager about my resume and past experiences. The final stage was a power day, which involved four back-to-back interviews: one with a case study (math-focused), one coding interview where I had to walk through and explain existing code, another casual chat with a hiring manager, and a role-play presentation using provided PowerPoint slides on flight delays. I'm still waiting to hear back, and the recruiter hasn't responded to my follow-up.
Confirmed questions5 questions
- Prepare and deliver a presentation on flight delay data for a non-technical audience, choosing between LR and DT models and detailing how to interpret their outcomes. You'll have 15 minutes to prep and 15 minutes to present, followed by basic questions.
- Discuss technical aspects with the hiring manager, including a casual review of your experiences and resume.
- Respond to fit questions about your preferences and motivations for this role.
Capital One
Principal Data Scientist
Senior Difficult Positive experience Accept offer 6 rounds
Interview process
Recruiter call Take home Technical screen Presentation Technical screen Background check
Interview formats
Behavioral Coding Case Presentation Technical
You'll start with a 30-minute call with the hiring manager to discuss your background, experience, and if you're a good fit for the role, no tech questions there. After that, there's a take-home assessment, you've got 7 days to finish it, where you'll build a full data science solution, from loading data to creating and evaluating models. If you ace that, you move on to the 'Power Day,' which is the final stage. Power Day has four 1-hour interviews: Case Study: Questions like whether a car company should introduce a new product. Check out 'Hacking the Case Interview' on YouTube for tips. Roleplay: You'll get a presentation (PDF/PPT) to study for 10 minutes and then discuss insights with the interviewer. Technical: A live coding session to test your Python and shell scripting abilities. Behavioral: Questions about job fit and situations like 'Tell me about a time when…'
Confirmed questions5 questions
- Tell me about a situation where a project did not go as planned.
- Assess whether a car company should launch a new product.
- After studying a presentation (PDF/PPT) for 10 minutes, discuss the insights you can derive from it.
Capital One Data Scientist Interview Questions
Quoted word for word from Capital One interview reports.
“Could you write a function to check if parentheses in a string, which might include two types, are valid?”
Read reports →“Could you write a SQL query to get data from one table using a condition from another?”
Read reports →“Given a dataset with 600,000 credit card transactions, how would you build a fraud detection model?”
Read reports →“Could you explain what the multinomial distribution is and then show us how to represent it using Python code on a whiteboard?”
Read reports →“For a file sharing business like Dropbox or AWS, what are the key elements you'd look at to figure out if it's profitable?”
Read report →“Based on the provided airline booking data, what recommendations do you have for increasing the airline company's revenue?”
Read report →“Given a sample dataset and a machine learning model, assess if the model is appropriate and suggest any superior alternatives.”
Read report →“What metrics would you use to confirm the reliability of control and test groups?”
Read report →“How would you set up an A/B test to check if a campaign is effective?”
Read report →Formats, difficulty and experience
Across all 162 Capital One interview reports.