Klarna Interview Questions
Klarna Interview Guides
Klarna Interview Questions
Practice for the Klarna interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
ML Ops | Hard | |
Let’s say we’ve already trained a machine learning model to predict the likelihood that an online retail customer will make a purchase, using features like user age, session length, and number of items viewed. Now, we want to deploy this model to serve real-time predictions through an API endpoint on AWS. How would you design the deployment system to ensure the model is reliably and scalably accessible as an API, and what trade-offs or best practices would you consider in your approach? | ||
Data Pipelines | Hard | |
Behavioral | Medium | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Challenge
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Klarna Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Marketing Analyst role pays the most with a $121,000 base salary while the Data Scientist role on average pays the least with a $75,667 base salary.
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