Capital One Power Day for Data Scientist

Hi all,

I have an upcoming Capital One Power Day interview for a Data Scientist role, and I was hoping to get some insights from those who have recently gone through the process.

The day consists of 4 rounds:

1. Stats Role Play
2. Analyst Case
3. Technical Interview
4. Job Fit

I’m particularly curious about:

• Technical Interview: I’ve heard this round has become more hands-on, and it might include coding. Can anyone clarify what to expect here? Will it involve SQL, Python, or data science concepts? Is it like a live coding round or more of a whiteboard discussion?
• Stats Role Play: What kinds of questions come up in this round? Are they conceptual (e.g., hypothesis testing, p-values) or applied (e.g., real-world problem-solving)?
• Analyst Case: Any tips on preparing for this? Should I expect A/B testing, metrics calculations, or broader business problem discussions?

Any advice, resources, or experiences would be super helpful! Thanks so much in advance!