Enova Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 13 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Enova.
Enova
Data Scientist
Senior Easy Neutral experience Accept offer 3 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Technical Coding Case Behavioral
The process began with a home project that was quite straightforward. The main focus was on data cleaning and related tasks, along with building and comparing machine learning models. Following that, there was a final interview round covering Excel, SQL, and ML.
Confirmed questions4 questions
- The interview process included a HOME-Project about predicting list prices and competing to maximize profits through betting.
- Excel questions, which were pretty simple and required some basic business knowledge.
- Machine learning questions that were direct and not particularly difficult.
Enova
Data Scientist
Mid Difficult Negative experience Decline offer 4 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Technical Behavioral
So basically, you apply, then they look at your resume and do a quick phone call to see if you're a fit. If you pass that, they might give you a take-home test or some other kind of assessment to check your skills. After that, you'll have interviews, either online or in person, with different people on the team, like your potential manager and colleagues. Sometimes, you might even talk to higher-ups for a final chat to make sure you're on the same page with the company's vision. If everything goes well, they'll offer you the job, and then you get started with the onboarding.
Confirmed questions1 question
- Could you walk me through an assessment you did related to pricing and the decision-making process for a purchase?
Enova
Data Scientist
Mid Average Positive experience No offer 4 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Technical Behavioral
They gave me a take-home assignment first, then there were 4 rounds with the team. The assignment involved doing some basic analysis to predict pricing using whatever method I thought was best. Then, in the interviews, they asked behavior questions, like how to approach data problems and apply them to business situations. There were also some statistical questions about the T-test.
Confirmed questions4 questions
- Can you discuss the assumptions of linear regression?
- Explain gradient descent.
- How would you approach data problems and apply them to business cases?
Enova Data Scientist Interview Questions
Quoted word for word from Enova interview reports.
“Can you find the prime numbers within a given range 'n' using Python?”
Read reports →“Explain gradient descent.”
Read reports →“Can you discuss the assumptions of linear regression?”
Read reports →“What are some statistical questions related to the T-test?”
Read reports →“Tell me about dataset manipulation.”
Read report →“Were there conceptual questions about basic methodology and data leaking?”
Read report →“Do you work with credit score models?”
Read report →“Can you describe your entire machine learning model building process, from initiation to completion?”
Read report →“What are your thoughts on conceptual questions?”
Read report →Formats, difficulty and experience
Across all 13 Enova interview reports.