Credit Karma Interview Questions
& Process

It started with a recruiter screen, they were responsive. Then there was a SQL Coderpad test, a take-home case that needed a presentation, and finally 4 behavioral interviews. The take-home case was tough; they expect you to make recommendations based on assumptions about the data, but then they hit you with real-life challenges that you wouldn't know unless you already worked there. They also asked about data sources and what other data would be helpful. It felt a bit like a power play from the interviewers.

So the process was pretty standard, two rounds. First up was a coding test, kind of like LeetCode, where they check your problem-solving skills with algorithms and data structures. After that, I had a chat with the engineering manager. That one was more about behavior, like how you work with others, your past experiences, and how you handle different situations.

The process kicked off with a recruiter chat, followed by the hiring manager. Then there was a LeetCode coding round focusing on basic ML concepts, and finally, an onsite technical part. The onsite had two separate rounds: one on Recommendation Systems and another covering General ML, Recommendation Systems, and System Design. On the plus side, the interviewers were really respectful and listened well. But, communication was a big issue; it was never clear what was happening next or what to study. I had to chase them for info about the next steps and scheduling, which caused a lot of delays and rescheduling. It was also confusing with so many HR people on emails. After about three months and five rounds, I got an automated rejection, which was pretty frustrating. Also, during one of the virtual onsite interviews, the interviewer was on call and kept getting distracted by Slack messages, which made it hard to focus.

It was a 4-5 stage interview process. First, I had a chat with HR about my experience and how it relates to the job. She was interested in problems I'd solved and my part in it. Then, I had a technical interview with my potential manager. She asked about my knowledge of basic statistics for product analysis, especially A/B testing. After that, another Lead interviewed me, diving deeper into A/B tests. They gave me scenario-based A/B questions focusing on the company's challenges. The next part was a live SQL test with about 7 questions on aggregation and window functions, to be done in 30 minutes. I got 6/7 and didn't move forward, as there was supposed to be a Python test next. The SQL questions weren't too hard, like easy-medium Leetcode SQL. Nerves got the better of me at the end. The job paid £100k in London for an associate role, so it was super competitive.