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Elevate Credit Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 12 interview experiences · FREE TO READ

2.4 Rounds average
Average Typical difficulty
33.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Elevate Credit.

Showing 3 of 12
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Elevate Credit

Data Scientist

Analytics · a year ago

Entry Easy Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical

The interview had three total rounds, all virtual. I spoke with two people in the first round and three in the second. I was cut after the second round, so I didn't make it to the final round. It was a mix of behavioral and technical interviews. The first round included a riddle and some funny questions, basically a vibe check.

Confirmed questions1 question
  • If you were an animal, what animal would you be?
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Elevate Credit

Data Scientist

Analytics

Mid Average Neutral experience No offer 4 rounds
Interview process
Recruiter call Phone screen Onsite Background check Offer
Interview formats
Technical Behavioral

I reached out to a data science manager at Elevate. After some chats, HR contacted me for a phone interview. The initial phone interview was great; they focused on core concepts rather than specific tech. Within a week of that, I got invited for an onsite in San Diego. The onsite interviews were even better, with questions that made me think and required a solid grasp of math and stats. There were three technical interviews and one HR interview. I left feeling positive about it all. Although they let me know there'd be a wait for a decision, I never heard back, which was disappointing. I would have loved to work there.

Confirmed questions2 questions
  • Can you explain the basics of statistical techniques such as regularization, ensuring a strong understanding of the underlying mathematics?
  • Tell me about the basics in statistical techniques like regularization. Make sure you understand the maths well.
Elevate Credit logo
Elevate Credit

Data Scientist

Analytics

Entry Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral

I talked to a team member in the first round. It was two 15-minute chats that felt like speed dating, with some weird brain teaser questions. Then, the second round had two 30-minute conversations; one was more behavioral, and the other was technical.

Confirmed questions1 question
  • What's your approach to finding a needle in a haystack?

Elevate Credit Data Scientist Interview Questions

Quoted word for word from Elevate Credit interview reports.

What are some optimization algorithms used in machine learning?

Read reports

Can you explain the assumptions underlying linear regression?

Read reports

Can you explain the basics of statistical techniques such as regularization, ensuring a strong understanding of the underlying mathematics?

Read report

Tell me about the basics in statistical techniques like regularization. Make sure you understand the maths well.

Read report

Could you answer some technical questions about machine learning?

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Could you answer some technical questions about statistics?

Read report

Formats, difficulty and experience

Across all 12 Elevate Credit interview reports.

Interview formats

Behavioral 44.4%
Technical 37%
Coding 7.4%
Presentation 7.4%
Group 3.7%

Interview difficulty

Easy 16.7%
Average 83.3%
Difficult 0%

Candidate experience

Neutral 58.3%
Positive 33.3%
Negative 8.3%