
Kiavi Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Kiavi.
Data Scientist
the interviewer told me about the company's main business and their future business plan, and how quickly they are growing. they are hiring a lot of people now, and they recently got more investment. they also mentioned the position is fully remote.
- Can you discuss your past work experience?
Data Scientist
The interview started with a phone screening and then a take-home project. They sent a project via email with a two-week deadline. The project involved analyzing a dataset and answering open-ended questions. They wanted code and PowerPoint slides. It was really bad because they never even confirmed they got the project, and there was no follow-up at all. It's terrible to spend two weeks on something so detailed, including market and competitive analysis in an area they actively lend in, and a model to forecast future lending opportunities. I feel like they're exploiting interviewees for free work. It's unfair to ask for two weeks of a candidate's time.
- Can you discuss your previous projects?
Data Scientist
A recruiter reached out, and we had a brief call. After that, I interviewed with the hiring manager. During this interview, he asked me about a project from my CV and then surprisingly ended the call early, stating it was a 'waste of time.' He couldn't explain why he felt I was unqualified, just that my experience wasn't 'rigorous' enough. He mentioned wanting more than 2 years of experience, despite my 3+ years in my current role and 6+ years in the industry, all detailed on my CV. His attitude was dismissive and insulting.
- How would you describe the steps involved in deploying a machine learning model using Python?
Kiavi Data Scientist Interview Questions
Quoted word for word from Kiavi interview reports.
“Can you explain what gradient boosting is?”
Read reports →“Can you explain what machine learning is?”
Read reports →“How would you describe the steps involved in deploying a machine learning model using Python?”
Read reports →“Can you describe a past project where you standardized and integrated datasets?”
Read reports →“Can you discuss your previous projects?”
Read report →“Can you discuss your past work experience?”
Read report →Formats, difficulty and experience
Across all 6 Kiavi interview reports.