Data Science

January 19, 2023
To B2B, or not B2B, that is the question.
7 Min Read
January 4, 2023
Wayfair has tens of millions of products that serve the needs of over 33 million customers. Each of our customers have nuanced preferences as they buy products to help them create their own unique sense of home. Our search and recommender systems play an important role in helping customers find these products as quickly and conveniently as possible.
5 Min Read
December 20, 2022
According to Colin Gray, a growing number of economists are being drawn to the prospect of carrying out interesting work at technology companies like Wayfair.
4 Min Read
November 15, 2022
Over thirty million customers from around the world shop on Wayfair to look for furniture that helps them create their unique sense of home. Wayfair serves a variety of webpages catered to niche customer sub-segments and help customers discover new products – these include pages with advice for people buying “twin futons,” or “nursery chairs with removable cushions.”
5 Min Read
October 31, 2022
Like many interns at Wayfair, Shima Dezfulian works on projects that have a high impact on the company’s operations. More specifically, Dezfulian is part of a Wayfair’s finance and algorithms team that leverages machine learning to make predictions about Wayfair’s profitability.
4 Min Read
October 18, 2022
The annual conference for the Institute for Operations Research and the Management Sciences (INFORMS) brings together professionals and experts from the industry and academia. At INFORMS 2022, I will be giving a presentation on Global Network Optimization (GNO), which is an ongoing project carried out by Wayfair’s operations research team.
4 Min Read
September 13, 2022
Style transfer: How Wayfair leverages customer browse activity in one furniture category to inform recommendations for a category they have never shopped before.
2 Min Read
September 1, 2022
Not everyone wants to speak with someone when they need to set up a return or report an issue with their order. We built an NLP-powered Virtual Assistant to provide our customers a fast and easy option that’s available 24/7 to resolve their service-related issues.
10 Min Read
July 14, 2022
Images from product reviews can inspire and inform our customers. We created a machine learning model that helps us in prioritizing the most helpful and good looking images on the product page.
7 Min Read
May 31, 2022
Wayfair and its subsidiary brands operate globally and we send out millions of marketing emails every day to communicate with our customers. To improve customer satisfaction and increase customer engagement, we have developed a new generation of daily sales email models (Nightingale) to make email sending decisions. The Nightingale model is built via a scalable retraining pipeline to serve different business needs across all regions and brands.
10 Min Read
May 17, 2022
Today, many companies rely heavily on third-party event tracking platforms for collecting event data. Perhaps the most well-known of these is Google Analytics. However, at Wayfair, we chose to go another route, largely eschewing the third-party vendor model to develop our own first-party event tracking platform. It’s called Scribe.
5 Min Read
April 26, 2022
The Time Informed Calibration process extends the capabilities of Wayfair’s customer models by converting raw model output to realistic probabilities and incorporating information on expected trends.
9 Min Read