
Oura Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 9 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Oura.
Data Scientist
Started with a recruiter phone screen, then talked to the hiring manager. After that was an ML modeling/coding assessment, followed by three technical interviews. The last step was a final subject matter expert interview. Everyone I talked to was helpful, asked good questions, and gave good feedback about what working at OURA is like.
- Describe the steps to create a binary classification model using a basic test dataset.
Data Scientist
The process started with an HR call, followed by an interview with the team lead. Then, there was a job-related assignment where I had a specific time window to submit it. After that, a technical interview took place, and finally, I met with a higher-level leader. Everything went well; I was always kept in the loop about decisions and what was next within a few days.
- Can you explain the issue of overfitting in data science and your strategies for addressing it?
Data Scientist
The process had 3 steps: 1) HR, 2) "Light technical", and 3) "More technical". I sent my application early, but it took two months for them to contact me. In the first step, the HR made it clear that things are quite chaotic at Oura. I was bounced back and forth between different teams, interviews were cancelled and rescheduled, and at every step Oura promised to get back to me by the end of the week, and every single time this meant that they wrote me on Friday evening that they will reply later. After the second round, my third and last round interview was changed from health team to cloud team. I was ensured that it would be a machine learning focused data science -position. I cleared up my calender, and booked the interview for 23rd of December(!). Over 90 % of the interview focused on nginx, asynhronous processes, parallel computation, and cloud architectures. The interviewers had absolutely 0 interest on the models I had built and only asked questions about the technological choices regarding the environment they were run on. As a cherry on top of the cake, I was being told that I would receive the final decision before the end of the year. I was approach by the interviewer 17th of January! At this point, I had no idea of what the position was going to be about anyway, so I had already lost my interest.
- Which algorithms have you employed?
- Can you explain gradient descent?
- What was your reasoning for choosing x web server over y?
Oura Data Scientist Interview Questions
Quoted word for word from Oura interview reports.
“Does the absence of correlation imply the absence of causality, given that correlation does not imply causality?”
Read reports →“What is the computational complexity of the z search algorithm?”
Read reports →“Can you explain the difference between bias and variance?”
Read reports →“Can you explain gradient descent?”
Read reports →“Describe the steps to create a binary classification model using a basic test dataset.”
Read report →“What are your thoughts on the future direction of the wearable industry?”
Read report →“How could we increase the variety of products offered?”
Read report →“Can you explain the issue of overfitting in data science and your strategies for addressing it?”
Read report →“What makes you want to join Oura?”
Read report →Formats, difficulty and experience
Across all 9 Oura interview reports.