Feedzai Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 18 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Feedzai.
Feedzai
Data Scientist
Mid Average Positive experience Accept offer 6 rounds
Interview process
Technical screen Recruiter call Presentation Technical screen Technical screen Onsite Offer
Interview formats
Coding Technical Presentation Behavioral
So a consultancy in Brazil reached out to me. They sent over a codesignal assessment, which had some multiple choice and a few open-ended questions. After that, I had a 30-minute chat with HR to go over my background. Then, I had a 1.5-hour technical interview with three data scientists from Portugal. I had to present a project I'd done before, explaining the details and answering questions. They also wanted me to deep dive into an ML algorithm I knew well, and we ended up discussing other algorithms and general ML project stuff. Following that, there was a 1-hour interview with the data science director and a lead data scientist, covering both technical aspects and cultural fit. I got the offer a week after that, so the whole thing from the codesignal to the offer took about a month.
Confirmed questions4 questions
- Could you discuss a past ML project you were involved in?
- Please describe an ML algorithm you're familiar with, first generally and then in detail.
- Tell me about an ML algorithm you're comfortable explaining, starting with a broad overview and then delving into the specifics.
Feedzai
Data Scientist
Entry Average Neutral experience No offer 5 rounds
Interview process
Technical screen Recruiter call Take home Presentation Onsite
Interview formats
Technical Coding Presentation Behavioral
The hiring process moved pretty quickly, about 10 days from applying to the first test. It started with a Machine Learning theory test on Hackerrank. Then I had a chat with HR. After that, there was a coding challenge where I had 2.5 days to build a model from a Kaggle dataset and get a slide deck ready for a presentation a few days later. They gave daily guidance via hangout with one of their data scientists. I presented the model to a panel who wanted to know my approach and reasoning. The last step was an interview with one of the founders. The whole thing took under a month. I was a bit bummed that I didn't get more specific feedback on why I wasn't chosen, just the standard 'profile fit' reason.
Confirmed questions4 questions
- Regarding the features you created for the challenge, can you explain your design choices and the reasoning behind them?
- Could you list the tools you utilized for this project?
- How did you handle the challenge of working with a very large dataset?
Feedzai
Data Scientist
Mid Difficult Neutral experience No offer 4 rounds
Interview process
Technical screen Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral
The whole interview process lasted approximately two months. Initially, there was an online HackerRank test that covered general machine learning and data science topics like classification metrics and overfitting. This was followed by an HR interview where they asked about my past work and academic background, with no technical questions. After that, a technical interview was conducted, lasting about 50 minutes, with various questions on data science and machine learning. The process concluded with a final interview that included both technical and personal questions.
Confirmed questions3 questions
- Can you select a machine learning method you know well and explain its workings?
- Tell me about a project you have previously worked on.
- Could you describe how you would explain the evaluation metrics of precision, recall, and AUC?
Feedzai Data Scientist Interview Questions
Quoted word for word from Feedzai interview reports.
“What is Cross-Validation?”
Read reports →“Can you explain the difference between Supervised and Unsupervised ML?”
Read reports →“What are some common issues with Overfitting, and how can we address them?”
Read reports →“What are some basic machine learning concepts?”
Read reports →“Can you explain Precision?”
Read report →“Could you describe how you would explain the evaluation metrics of precision, recall, and AUC?”
Read report →“Can you explain Recall?”
Read report →“Could you pick a machine learning model and walk me through the entire process of using it?”
Read report →“Describe how you would approach building a model for fraud detection.”
Read report →Formats, difficulty and experience
Across all 18 Feedzai interview reports.