
Sixt Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Sixt.
Data Scientist
The entire process was smooth and seamless, with every detail carefully organized. The team lead provided a warm, professional, and supportive welcome, creating a very positive first impression.
- Would you be open to relocating to the company's city?
Data Scientist
This Data Scientist Gen AI role had a really long and messed-up hiring process that took more than two months. The HR person was great and super professional, and the interviewers were nice and I enjoyed talking with them. But the system itself was broken. It started with HR, then a tough take-home assignment that felt like free work, followed by two technical interviews that were basically the same, then an HR culture chat that felt weird and invasive because they weren't clear about things, and finished with a manager chat. After all that, they rejected me for a really dumb reason, saying I wasn't senior enough, which was the opposite of how I presented myself the whole time. This whole messy and slow process shows how disorganized they are, not that I did anything wrong.
- Tell me more about your experience evaluating Generative AI models, like Large Language Models (LLMs).
Data Scientist
I’m really disappointed with this hiring process, it felt so disrespectful. This is the first time I’ve had such a bad experience. It took almost two months to complete a detailed technical test that I spent a lot of time and effort on. The interviewer even said he liked my work and thought it was good. But I just got a generic rejection email with no feedback. It seems like they don't respect candidates' time and effort. It makes me wonder if they were actually hiring or just collecting ideas for their own use from the tests.
- Could you implement a RAG system for customer support?
Sixt Data Scientist Interview Questions
Quoted word for word from Sixt interview reports.
“What are the differences between Bagging, Boosting, and RF?”
Read reports →“How does the RF Regressor function?”
Read reports →“What's the way to figure out the best average depth for an RF?”
Read reports →“Could you explain the working of w2vec?”
Read reports →“In terms of designing a recommendation system, how would you approach differentiating between Popular and Trending Results?”
Read report →“What approaches can be used for service price optimisation?”
Read report →“Can you outline a strategy for pricing?”
Read report →“Could you implement a RAG system for customer support?”
Read report →“Would you be open to relocating to the company's city?”
Read report →Formats, difficulty and experience
Across all 10 Sixt interview reports.