
Voodoo Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Voodoo.
Data Scientist
I got to the third round of interviews. First, they screened my resume. Then, I had a chat with the technical recruiter about my background. After that, I was given a take-home assignment where I had to build a machine learning prediction model, which involved data cleaning, transformation, modeling, evaluation, and visualization. They reviewed my submission and I moved on to the next stage. This involved an interview with two senior data scientists where we discussed my take-home submission, concepts related to it, and other machine learning fundamentals.
- Can you explain your reasoning for selecting the specific model evaluation metric in your work?
- What methods would you employ to address class imbalance in a dataset?
- Regarding your use of CalibratedClassifierCV with isotonic calibration, could you elaborate on why you chose isotonic calibration over sigmoid calibration?
Data Scientist
The interview process had 6 main steps that took place over a month: first, an HR interview, then a Manager interview, followed by a homework technical test that took one day. After that, there was a live technical test, a PM interview, and finally, a Head of Engineering interview.
- Can you tell me about your past experiences and projects?
- How did you approach the homework technical test?
- What is your understanding of Voodoo?
Data Scientist
3 steps: 1h HR (motivations, profile...) 4h technical test (yes it's very long...) data analysis of a dataset and proposal of indicators 1h manager (debrief of the test and challenge with some questions)
- How does our business model work?
Voodoo Data Scientist Interview Questions
Quoted word for word from Voodoo interview reports.
“What is your understanding of Voodoo?”
Read reports →“Regarding your use of CalibratedClassifierCV with isotonic calibration, could you elaborate on why you chose isotonic calibration over sigmoid calibration?”
Read reports →“What methods would you employ to address class imbalance in a dataset?”
Read reports →“How does our business model work?”
Read reports →“Can you explain your reasoning for selecting the specific model evaluation metric in your work?”
Read report →“What makes you want to join Voodoo?”
Read report →“Could you describe an ML project from your experience that involved managing both the deployment and monitoring of a model?”
Read report →“Can you tell me about a model you built and walk me through how you deployed it?”
Read report →“How did you approach the homework technical test?”
Read report →Formats, difficulty and experience
Across all 7 Voodoo interview reports.