H2O.ai Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at H2O.ai.
H2O.ai
Data Scientist
Intern Average Positive experience Accept offer 3 rounds
Interview process
Technical screen Technical screen Recruiter call
Interview formats
Technical Coding Behavioral
So first up there were two technical interviews with senior engineers, and after that I had an HR interview which was pretty easy. The first tech interview had some easy coding problems and questions about my past experiences. The second one focused on my ML projects and the theory behind them.
Confirmed questions4 questions
- Can you walk me through your ML projects?
- Are you able to handle some basic coding tasks?
- What are some key theoretical concepts you know?
H2O.ai
Data Scientist
Mid Average Neutral experience Decline offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Technical screen
Interview formats
Technical Behavioral
The interview process consists of 3 to 4 rounds: an initial HR chat, a meeting with the Hiring Manager, and interviews with two data scientists. The HR representative seemed unsure about regional benefits, which raised some concerns. The overall process involved considerable back-and-forth and wasn't the smoothest. During the data scientist interviews, expect a deep dive into your resume, so be ready to elaborate on your technical solutions.
Confirmed questions4 questions
- Can you elaborate on how RAG works?
- Tell me about the inner workings of an LLM.
- What experience do you have with LLMs?
H2O.ai
Data Scientist
Senior Average Neutral experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Behavioral Technical Coding
The first interview was a long one, about 3 hours. Mostly they talked, and I didn't catch much, but it didn't seem to bother them. Then, I had three 45-minute interviews back-to-back. I felt like they were watching to see if I'd throw away a piece of paper left in the room, which I did, because, you know, that's what you do. That seemed to go over well. Finally, they gave me some take-home data science exercises, which were pretty simple. I used the company's software to complete them.
Confirmed questions3 questions
- Apply autoML on the credit card dataset.
- Solve the credit card Kaggle dataset regression problem.
- Solve the airline delays Kaggle dataset classification problem.
H2O.ai Data Scientist Interview Questions
Quoted word for word from H2O.ai interview reports.
“Solve the credit card Kaggle dataset regression problem.”
Read reports →“How do you ascertain feature importance in tree-based models?”
Read reports →“Solve the airline delays Kaggle dataset classification problem.”
Read reports →“Can you explain how to plot a k-means cluster analysis when dealing with more than two or three dimensions?”
Read reports →“Do you understand how XGBoost operates?”
Read report →“Can you design an ML system to detect harmful content?”
Read report →“Tell me about the inner workings of an LLM.”
Read report →“Can you elaborate on how RAG works?”
Read report →“What are some key theoretical concepts you know?”
Read report →Formats, difficulty and experience
Across all 8 H2O.ai interview reports.