
Klarna Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 28 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Klarna.
Data Scientist
Klarna's interview process for Data Scientist in Stockholm, Sweden, can be quite lengthy, which makes sense given the high volume of applicants. My experience involved 6 rounds over more than 2 months, all conducted online. It started with a brief HR call to introduce myself and discuss expectations. Next was an Abstract Reasoning round with analytical puzzles, for which they provide practice questions. Then came a case study where I had to propose an ML solution for a given dataset, with a bonus for deploying it on AWS. The fourth round was a Skill interview to present my case study solution and answer related questions, including those about my resume experience. Following that was a Behavioral round based on the STAR method and Klarna's leadership principles. The final round was a 90-minute Live Coding and Team Fit interview. I had to build an ML solution for a toy dataset using sklearn in real-time, with the freedom to choose any algorithm like XGBoost. Internet access and asking doubts were allowed. Honestly, none of the rounds were extremely difficult. If you don't know an answer, it's best to admit it directly and explain your thought process, as that's what they're most interested in.
- Basic ML questions, such as, What is supervised Learning etc?
- If you have mentioned some projects in your resume they will ask questions related to that.
Data Scientist
First there was a screening interview with the tech recruiter, then a take home assignment and a logic test. After that, there were two interviews: one with other data scientists where we discussed the technical case and some business-specific questions, and another with a manager about Klarna culture and leadership principles. The final interview was with the hiring manager, again covering Klarna's culture and principles, and also discussing the team's current projects and challenges.
- How would you envision this model being implemented in a production environment?
- Can you outline the distinctions between PR-AUC and ROC-AUC?
- Could you elaborate on the rationale for selecting this particular model?
Data Scientist
Applied for a data science position and got a link for a logical thinking test (18 questions, 15 mins). You have 7 days to complete the test and I immediately got an interview request from Klarna, even though I haven't yet completed the test. So aparently, my CV and my skills were interesting enough that they didn't even wait for the logical test result. I found the test pretty easy and completed all 18 questions in time. However, a few days before the scheduled phone interview with Klarna, they suddenly let me know that I didn't pass the test, which I honestly do not believe, since it was pretty simple and they cancel the call. And to be honest, years and years of studies, experience and technical skills should be more important than a random logical test which everybody can pass with a little practice. You don't need any skills or knowlege for that, you only need to have seen a few similar tests.
- Complete 18 logical pattern questions within 15 minutes.
Klarna Data Scientist Interview Questions
Quoted word for word from Klarna interview reports.
“What are the methods for imputing missing values?”
Read reports →“Do variables need to be standardized for all models?”
Read reports →“Can you outline the distinctions between PR-AUC and ROC-AUC?”
Read reports →“What are the top three factors for Klarna's success?”
Read reports →“If you were the CEO of a small company, why would you use Klarna instead of PayPal?”
Read report →“Could you build a traditional ML model and deploy it as an API endpoint using a cloud provider of your choice?”
Read report →“Could you train a credit risk model and deploy it on a cloud service provider?”
Read report →“If you could access all available data, what types of variables do you think would influence a credit model?”
Read report →“Which two of our principles could you discard?”
Read report →Formats, difficulty and experience
Across all 28 Klarna interview reports.