Wallet Hub Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Wallet Hub.
Wallet Hub
Data Scientist
Entry Easy Negative experience No offer 2 rounds
Interview process
Take home Recruiter call Technical screen Background check
Interview formats
Technical
Interview process is a joke. They gave a test. After submitting the solution, HR lady sent a mail saying, she will revert in a week. No response for 2 month. One fine day, she sent a congratulatory mail, saying I have cleared their test. Asked for salary expectation and scheduled second round of technical interview. Technical interview was substandard. Answered all questions and I got a feeling that interviewers knowledge in Data Science is limited. Somehow after a week of the interview i got rejection mail. So far I don't know why they rejected me. But I don't care.
Confirmed questions1 question
- Basic questions related to Data Science
Wallet Hub
Data Scientist
Mid Average Negative experience No offer 1 round
Interview process
Take home Background check
Interview formats
Technical
I was contacted on LinkedIn for a remote Data Science position. Instead of a personal interview, I was given a machine learning exercise to complete within a week. It was of average difficulty, and I achieved a 5% RMSE, which I felt was good. However, they took two months to review my submission, only to send a generic rejection email stating they found better candidates. My request for feedback was ignored. I suspect they might have been looking for free work, as the review period was excessively long, there was no personal interaction, feedback wasn't provided, and the exercise itself was easy to average in difficulty. It all seemed a bit strange to me.
Confirmed questions1 question
- Complete a Machine Learning problem, labeled X.
Wallet Hub
Data Scientist
Senior Average Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen Technical screen
Interview formats
Technical Coding
The WalletHub hiring team did a great job coordinating the interview process, which involved 3 tests and 2 rounds of interviews. The tests assessed data science knowledge and programming skills, and I was given ample time to complete them. The interviews were conducted over Skype and were primarily technical. Both the interview questions and the tests were challenging, with a difficulty level I'd rate as above average. The whole process took about 4 months, which was longer than I expected.
Confirmed questions1 question
- Can you discuss machine learning algorithms?
Wallet Hub Data Scientist Interview Questions
Quoted word for word from Wallet Hub interview reports.
“What distinguishes a generative model from a discriminative model?”
Read reports →“Could you outline the differences between L1 and L2 regularization?”
Read reports →“How would you describe the F1 score?”
Read reports →“Can you explain the ROC curve?”
Read reports →“Could you create a pricing algorithm that achieves an RMSE lower than a specified threshold?”
Read report →“What distinguishes this product from others currently available?”
Read report →“Can you discuss machine learning algorithms?”
Read report →“Could you elaborate on what this product is?”
Read report →“How many hours could you work in a week?”
Read report →Formats, difficulty and experience
Across all 8 Wallet Hub interview reports.