Iterable Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 5 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Iterable.
Iterable
Data Scientist
Staff Difficult Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Technical Coding
An internal recruiter reached out on LinkedIn. First, there was an HR screen, then I was sent a timed technical test on CodeSignal. I didn't pass the online test, but I think the next step would have been a tech panel interview. The questions were mainly about machine learning theory. I think I could have passed if I had revisited some old concepts. I've been a data scientist for years at different companies. Not sure if a traditional theory test like this actually finds good data scientists, so giving it a neutral rating.
Confirmed questions4 questions
- Tell me about random forest.
- What are your thoughts on overfitting?
- Can you provide a Python coding solution for a medium difficulty problem?
Iterable
Data Scientist
Mid Average Negative experience No offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral
This was the only interview which I know will not end up well from the beginning. I was also trying to get an idea how bad it could be. If you interview with them, you will know why. My experience is: Don’t waste your time if you are not one of them. That was the worst interview experience ever. I was literally sickened by one of the interviewers, because he was eating on the side of the screen. I guess he was very starving or something. Also, the final interview was very lengthy. You may take a nap during the unnecessary long breaks. Different groups of people keep asking the same dumb questions. Totally a waste of time!
Confirmed questions1 question
- Overfitting and other questions related to their projects
Iterable
Data Scientist Intern
Intern Average Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Coding Technical
For the interview, there were two coding questions. One was about an algorithm, and the other was about processing data given some sample data in a table. The algorithm one was medium difficulty, and the data one was more about explaining the process. They also asked about time complexity.
Confirmed questions4 questions
- How would you manipulate an array of elements?
- Can you explain how to approach this algorithm problem?
- Describe your process for handling this data processing task using the provided table.
Iterable Data Scientist Interview Questions
Quoted word for word from Iterable interview reports.
“How can one measure how perfect a drawn circle is?”
Read reports →“Explain classic machine learning theory concepts.”
Read reports →“Tell me about random forest.”
Read reports →“What are your thoughts on the time complexity of this approach?”
Read reports →“How would you manipulate an array of elements?”
Read report →“Can you provide a Python coding solution for a medium difficulty problem?”
Read report →“What are your thoughts on overfitting?”
Read report →“Can you explain how to approach this algorithm problem?”
Read report →“Describe your process for handling this data processing task using the provided table.”
Read report →Formats, difficulty and experience
Across all 5 Iterable interview reports.