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DataRobot Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 46 interview experiences · FREE TO READ

4.2 Rounds average
Average Typical difficulty
34.8% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at DataRobot.

Showing 3 of 46
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DataRobot

Data Scientist

Analytics · more than a year ago

Senior Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Technical screen Technical screen Onsite
Interview formats
Behavioral Technical Coding Group

I had 4 interviews over 4 days. The first one was just to get to know me. The second interview involved explaining how I've solved data science problems, covering my steps and approach. The third interview was a coding challenge where I had to implement RMSE. The final interview was meeting my potential colleagues.

Confirmed questions4 questions
  • Can you provide an instance of a data science problem you have resolved?
  • Describe how you tackled a data science problem, including your methodology and steps.
  • Could you please implement the Root Mean Squared Error (RMSE)?
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DataRobot

Data Scientist

Analytics · more than a year ago

Mid Difficult Neutral experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Presentation Offer
Interview formats
Behavioral Technical Presentation

We had 5 interview rounds in total. First, an HR interview for about 30 mins where we talked about my favourite project, motivations, right to work, etc. Then, an interview with the Head of Data Science (45 mins) - they wanted to understand motivations, why DataRobot, technical capabilities, and mostly get to know me and how I'd perform in the team. After that, an interview with the Head of Sales (45 mins) - they wanted to understand motivations, discuss aspects of myself that aren't on my CV, talk about experience in sales, the culture at DR, etc. Then, a technical interview with a Data Scientist (45 mins) - they asked questions on feature engineering, big data management, how to handle common data issues, and explain the need for cross validation, etc. Lastly, a presentation to a Panel (45 mins) - 15 mins to get to know me, 15 mins to present to 2 interviewers, and 15 mins for them to ask some questions and provide feedback.

Confirmed questions7 questions
  • What is DataRobot, and why now?
  • What is your favourite project?
  • What do you think you need to improve on?
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DataRobot

Applied Data Scientist

Analytics

Entry Average Negative experience No offer 6 rounds
Interview process
Recruiter call Technical screen Presentation Background check Offer
Interview formats
Technical Presentation

DataRobot put me through 6 interviews, including a presentation, and then sent me a No-Reply email ending my application after scheduling a 7th interview for 2 days later. They didn't contact me about the interview cancellation, but instead sent me a form email and deleted the Google Calendar invite without reaching out directly. They left me in the dark the whole time, and I wasted hours. Their HR is super unprofessional and not transparent. I wouldn't recommend interviewing there.

Confirmed questions1 question
  • Can you describe a past Data Science project you were involved in?

DataRobot Data Scientist Interview Questions

Quoted word for word from DataRobot interview reports.

What is association rule mining, how does it function, and can you explain its mechanism?

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Can you explain the workings of a random forest algorithm?

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Could you build a classifier using linear regression from a given CSV dataset and report its RMS?

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How would you explain supervised and unsupervised machine learning algorithms to a child?

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Could you tell me about random forests, including how a tree splits and how forests differ from individual trees?

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Can you explain the random forest algorithm in your own words?

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What are Data Science and ML? And how would you build an algorithm to measure the complexity of written text for language learners?

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What are typical preprocessing steps for a supervised machine learning model, and how do you handle significant class imbalance when building an ensemble model?

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Formats, difficulty and experience

Across all 46 DataRobot interview reports.

Interview formats

Technical 39.8%
Behavioral 31.9%
Presentation 15%
Coding 8.8%
Case 1.8%

Interview difficulty

Easy 17.4%
Average 65.2%
Difficult 17.4%

Candidate experience

Positive 34.8%
Neutral 17.4%
Negative 47.8%