
Wayfair Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 118 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Wayfair.
Data Scientist
I got an online assessment on Hackerrank. It had parts for data manipulation and data insights. The data manipulation part used Pandas and wasn't too hard. The data insights part involved an Excel spreadsheet where I had to draw some insights and recommendations from it.
- Given the data, what insights can you identify?
- Based on these insights, what recommendations can you make?
- How would you go about evaluating these recommendations?
Data Scientist
It started with a 4-hour hackerrank take home assessment before I even talked to anyone. After that, there was a recruiter call, then a data case study interview focused on pricing analysis. The final round involved an A/B testing case study and a behavioral interview. They ghosted me after the final interview, which was really disappointing given the effort involved.
- Tell me about a project you worked on (deep dive).
- How would you approach a pricing analysis case study?
- How would you conduct an A/B testing case study?
Data Scientist
It was a long and impersonal process... I applied through a referral. About a week later, I got a link for a 2-hour coding assessment. After I submitted that assessment... radio silence for about 25 days! Then, I got an invite for the first round. It was a case study that needed some basic NLP knowledge. Then, after 2 weeks, I was told I made it to the final round. They didn't tell me when it would be, though; I got notified less than 48 hours in advance! The final round had a behavioral, a case, and a coding part. The case interview was all about time series, even though it was obvious from my resume that this isn't my strong suit. For a role that's very ML/DL-focused, I was surprised I wasn't asked about my understanding of ML algorithms or statistics, or given a chance to talk about my past projects in detail. The rejection came 4 business days later.
- Can you create a model for an ad bidding strategy, specifically using time series?
- Implement K-means from scratch.
Wayfair Data Scientist Interview Questions
Quoted word for word from Wayfair interview reports.
“What's the best way to insert the digit 5 into a given integer to make the largest possible number, considering both positive and negative integers?”
Read reports →“What's a spin off version of calculating prime numbers in a given range up to n?”
Read reports →“Why would Wayfair decide to not offer phone customer service to half of their online customers?”
Read reports →“If there are three main channels people use to visit a website, what could cause a decrease in users for one specific channel?”
Read reports →“Given a budget to spend on two Google ads, what's the optimal way to split it?”
Read report →“Can you match furniture in a scene given query pictures, and what are the computer vision basics?”
Read report →“How would you build a model to predict if we should increase or decrease our ad bidding prices?”
Read report →“How would you match users who are browsing items on different devices, specifically phones and laptops?”
Read report →“How can we identify the same individuals across different devices, such as laptops and phones, using data? What features would be suitable for this task, and how would you utilize them?”
Read report →Formats, difficulty and experience
Across all 118 Wayfair interview reports.