Zest AI Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 29 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Zest AI.
Zest AI
Data Scientist
Senior Average Positive experience Decline offer 9 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Behavioral Technical
The interview process here is quite thorough, with about 9 interviews, which might be a lot. They're pretty clear about what they'll test, so you can definitely prep. I would have loved to work with Zest AI if things had worked out. The recruiter, Chris, was a great help, and I enjoyed chatting with everyone I met. I really value competence in a technical workplace, and everyone I spoke with was very competent. To be upfront, I didn't get an offer for the senior role, but they did offer me a mid-level position.
Confirmed questions0 questions
No confirmed questions were included in this interview report.
Zest AI
Data Scientist
Mid Average Negative experience No offer 9 rounds
Interview process
Take home Technical screen Recruiter call
Interview formats
Technical
The interview process at Zest was really disappointing. After 9 interviews and a take-home assignment that took me ages, they kept delaying the final decision. I had to chase them for updates each time. In the end, after my last follow-up, they just told me they weren't moving forward. No feedback, no call, nothing. I asked for feedback but got ghosted. It's a shame because the company seemed great based on what the interviewers said.
Confirmed questions1 question
- Could you discuss overfitting and data drift?
Zest AI
Data Scientist
Entry Difficult Positive experience No offer 10 rounds
Interview process
Recruiter call Technical screen Take home Onsite
Interview formats
Behavioral Technical Coding
So the interview process was pretty long. It started with a recruiter screening, then an interview with the head data scientist. After that, I had to do a coding challenge and a take-home project. Then there were 7 rounds of remote onsite interviews. It felt like they asked about the same project multiple times. They had super high expectations for what they said was an entry-level position. They asked really deep questions about machine learning and dug into the nitty-gritty details of my past projects. The recruiter was pretty helpful and responsive, but when I asked for feedback on why I didn't get the offer, they didn't provide any.
Confirmed questions2 questions
- What's your motivation for joining Zest?
- Can you tell me why you are interested in Zest?
Zest AI Data Scientist Interview Questions
Quoted word for word from Zest AI interview reports.
“Given that LASSO handles collinearity, what is the rationale for using PCA?”
Read reports →“Can you explain the differences between Random Forests and AdaBoost?”
Read reports →“Can you explain the concept of random forests?”
Read reports →“For datasets with a mix of categorical and numeric variables, what Machine Learning techniques would you suggest?”
Read reports →“Which model, GBM or Logistic Regression, do you believe benefits more from an additional feature?”
Read report →“When interpreting a model's behavior, what are various methods you might use? Also, what are different ways to figure out feature importance?”
Read report →“Could you discuss overfitting and data drift?”
Read report →“What different approaches can be used to understand how a model behaves, and what are some methods for identifying which features are most important?”
Read report →“Can you complete a data science challenge?”
Read report →Formats, difficulty and experience
Across all 29 Zest AI interview reports.