Wealthfront 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 Wealthfront.
Wealthfront
Data Scientist
Mid Difficult Negative experience No offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite
Interview formats
Behavioral Technical Coding Case
I was contacted by a recruiter. Then, I had a chat with the hiring manager about the job and fit. After that I had an hour long video call with stats, SQL, and business questions. Then I had the onsite interviews. Some of the interviewers where really not paying attention and was obviously asking questions that they did not understand. Probably they were reading from a paper that was created for them. The recruiters do a very poor job. They constantly misinformed me about the content of interviews. They tell you that there will be no business cases but during the interview you learn that you need to spend an hour solving a business case.
Confirmed questions3 questions
- Stats questions range from very simple conceptual questions to very tricky and difficult probability questions.
- SQL questions were easy but the interviewer did not understand the database, which created a lot of confusion.
- Take home is very hard and time-consuming.
Wealthfront
Data Scientist Intern
Intern Difficult Neutral experience No offer 4 rounds
Interview process
Onsite Technical screen Technical screen Group Background check
Interview formats
Coding Technical Behavioral
The onsite interview had 4 rounds. The first round was coding questions, the second was Machine Learning model questions, the third was business model questions, and the fourth was behavioral questions. Each round was about 1 hour, so the total interview time was around 4 hours.
Confirmed questions1 question
- What are your strategies for handling datasets with imbalanced data?
Wealthfront
Data Scientist Intern
Intern Average Positive experience No offer 2 rounds
Interview process
Technical screen Take home
Interview formats
Technical Coding
1. Interview with Data Scientist where they described projects and some ML concepts. 2. Take Home Challenge, which I didn't do, but it was a very good exercise as you will have to familiarize yourself with the tools they'll use.
Confirmed questions1 question
- What is the difference between overfitting and underfitting?
Wealthfront Data Scientist Interview Questions
Quoted word for word from Wealthfront interview reports.
“What is the difference between overfitting and underfitting?”
Read reports →“How to handle an ML dataset with numerous categorical variables?”
Read reports →“Can you solve this cube slicing question?”
Read reports →“What types of features could be useful for predicting fraud?”
Read reports →“Do you know about the Poisson distribution?”
Read report →“Tell me about logistic regression and how the coefficients would relate if the problem were reversed.”
Read report →“Tell me about linear regression.”
Read report →“What do you know about logistic regression?”
Read report →“What are your strategies for handling datasets with imbalanced data?”
Read report →Formats, difficulty and experience
Across all 13 Wealthfront interview reports.