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OneMain Financial 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

3.8 Rounds average
Easy Typical difficulty
16.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at OneMain Financial.

Showing 3 of 6
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OneMain Financial

Data Scientist

Analytics · nearly a year ago

Mid Average Negative experience No offer 6 rounds
Interview process
Take home Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral Case Presentation

It was a long process, comprising one assessment and five interview rounds. The final stage involved onsite interviews, for which I had to cover my own expenses. The interviews covered technical, behavioral, and case study aspects. Their communication emails had quite a few typos, but some interviewers were quite friendly.

Confirmed questions5 questions
  • What are the basics of Python?
  • Can you explain SQL basics?
  • Would you like to present your project?
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OneMain Financial

Data Science Analyst

Analytics · a year ago

Entry Easy Negative experience No offer 4 rounds
Interview process
Technical screen Take home Presentation Onsite
Interview formats
Technical Case Presentation

The interview process involved 4 rounds total: a 1-hour technical round, a 1-hour case study, a 20-minute project presentation, and a final 1-hour case study. Despite preparing extensively, I received a system-generated rejection. My attempt to get feedback was met with silence, which I found very unprofessional.

Confirmed questions4 questions
  • Can you explain the differences between Type I and Type II errors?
  • What are the methods for handling missing values in data?
  • How do you decide which metrics to use for evaluation?
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OneMain Financial

Data Scientist

Analytics

Entry Easy Positive experience No offer 2 rounds
Interview process
Technical screen Presentation
Interview formats
Technical Presentation

So I've had two rounds of interviews: first, a technical screen where they ask you basic ML, pandas, SQL, and statistics questions. Then, there was a presentation round where you present a project you've worked on to the interviewer and have a Q&A after.

Confirmed questions2 questions
  • Can you tell me what the hyperparameters are in XGBoost?
  • What do you understand by type 1 and type 2 errors?

OneMain Financial Data Scientist Interview Questions

Quoted word for word from OneMain Financial interview reports.

What are the hyperparameters in XGBoost and how do they affect the model?

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Can you explain the differences between Type I and Type II errors?

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What are the methods for handling missing values in data?

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Here is a case study on credit card, what is your analysis?

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Formats, difficulty and experience

Across all 6 OneMain Financial interview reports.

Interview formats

Presentation 27.8%
Case 27.8%
Technical 27.8%
Behavioral 11.1%
Coding 5.6%

Interview difficulty

Easy 50%
Average 16.7%
Difficult 33.3%

Candidate experience

Neutral 16.7%
Negative 66.7%
Positive 16.7%