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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

4.2 Rounds average
Average Typical difficulty
77.8% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Oura.

Showing 3 of 9
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Data Scientist

Analytics · a year ago

Senior Average Positive experience Accept offer 7 rounds
Interview process
Recruiter call Phone screen Technical screen Technical screen Technical screen Technical screen Onsite
Interview formats
Behavioral Technical Coding

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.

Confirmed questions1 question
  • Describe the steps to create a binary classification model using a basic test dataset.
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Oura

Data Scientist

Analytics · a year ago

Mid Difficult Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Take home Technical screen Group
Interview formats
Behavioral Technical Coding

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.

Confirmed questions1 question
  • Can you explain the issue of overfitting in data science and your strategies for addressing it?
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Oura

Data Scientist

Analytics

Entry Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Behavioral Technical Coding

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.

Confirmed questions5 questions
  • 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

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

Formats, difficulty and experience

Across all 9 Oura interview reports.

Interview formats

Behavioral 39.1%
Technical 39.1%
Coding 17.4%
Presentation 4.3%

Interview difficulty

Easy 0%
Average 77.8%
Difficult 22.2%

Candidate experience

Positive 77.8%
Neutral 11.1%
Negative 11.1%