Equifax Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 19 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Equifax.
Equifax
Data Scientist
Mid Average Positive experience Accept offer 5 rounds
Interview process
Phone screen Technical screen Technical screen Onsite Recruiter call Background check
Interview formats
Technical Coding Behavioral
The interview process was pretty smooth. It started with a telephonic round, then went into two technical rounds, followed by an offshore round which was a mix of technical (80%) and behavioral (20%) questions. Finally, there was an HR round. They assessed my data science skills in the first round, and then tested Python, SQL, and data science concepts in the second. The offshore round involved discussing my projects with the team, and the HR round was mainly a fitment check.
Confirmed questions5 questions
- Imagine a case study where you need to determine the total number of people in a city like Bangalore who can afford a car, given only limited variables like income.
- Could you explain the conditions under which you would stop the training of a model?
- What are your thoughts on reject inferencing?
Equifax
Data Scientist Intern
Intern Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Offer
Interview formats
Behavioral Technical
I applied online and heard back from a recruiter within a week, they were nice on the phone and talked a lot, but took until the next day to send follow up info and didn't reply to my emails with questions. The interview was set for two days later; the recruiter said it would be behavioral, but it turned out to be technical. The interviewer didn't say hi or introduce himself, just said he was short on time for small talk and jumped straight into technical questions, often interrupting me to ask more in a condescending way. He also didn't answer my questions at the end. I got a rejection email a week later.
Confirmed questions2 questions
- Could you explain logistic regression and give me the mathematical formula for it?
- Given a CSV file with two features, what additional information would you need to be able to perform ML on this data?
Equifax
Senior Data Scientist
Senior Average Positive experience No offer 3 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Behavioral Technical
The whole thing took about a month, and it was pretty straightforward. First, I had a chat with the recruiter, then an interview with the hiring manager, and finally, an on-site interview with the main people involved.
Confirmed questions2 questions
- Can you share examples of how you've used generative AI to create business value, and what metrics you'd use to assess the quality of its unstructured outputs?
- How have you leveraged generative AI to drive business value? How would you measure the quality of unstructured outputs from a generative AI model.
Equifax Data Scientist Interview Questions
Quoted word for word from Equifax interview reports.
“What is AUC ROC?”
Read reports →“In what circumstances would a KS statistic be considered high?”
Read reports →“What is the outcome if a sample is unbalanced?”
Read reports →“Considering fraudsters create online personas with social media accounts, what features could be extracted from a borrower's social media to predict credit fraud?”
Read reports →“Could you explain logistic regression and give me the mathematical formula for it?”
Read report →“Can you explain the difference between linear and logistic regression models?”
Read report →“Can you explain the ks metric?”
Read report →“Given a CSV file with two features, what additional information would you need to be able to perform ML on this data?”
Read report →“Could you explain the conditions under which you would stop the training of a model?”
Read report →Formats, difficulty and experience
Across all 19 Equifax interview reports.