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June 3, 2021
In early August, the Data Science (DS) team put on their first DS-wide hackathon. The global hackathon event brought together Boston and Berlin based data scientists for one day of hacking and demos. The event challenged teams to think big about how algorithms can transform Wayfair’s business and help unveil unseen possibilities. Some successful tools and products on our site, like our Visual Search tool, started as hackathon projects! The hackathon is a fun challenge to try out new methods or algorithms, explore a different part of the business, and collaborate with team members across disciplines.
December 15, 2020
Explainable Artificial Intelligence (XAI) is an emerging field within Machine Learning (ML). There has been considerable advances in the state of the art in recent years.
November 11, 2020
Feedback Hub is Wayfair's inhouse web application, built by Data Science Analytics, which enables Analysts all across Wayfair to leverage data and insights generated by Natural Language Models developed by our Voice of the Customer DS team.
January 20, 2020
Wayfair has a huge catalog with over 14 million items. Our site features a diverse array of products for people’s homes, with product categories ranging from “appliances” to “décor and pillows” to “outdoor storage sheds.” Some of these categories include hundreds of thousands of products; this broad offering ensures that we have something for every style and home. However, the large size of our product catalog also makes it hard for customers to find the perfect item among all of the possible options.
November 25, 2019
Choosing between school and work can be an either-or proposition for many, whether for financial reasons or because there simply don’t seem to be enough hours in the day. When faced with this decision myself, I initially shared similar concerns. However, I soon found that at Wayfair this can be an “and” rather than an “or” situation. Wayfair encourages employees to continue their education and provides resources to help them do so. Though doing both is certainly a challenge, for me it has not only been doable, but also very rewarding. I am currently in my last semester of Georgia Tech’s Online Masters in Analytics program, during which I have taken classes in many areas such as statistics, operations research, and computer science. Over the course of my master’s program, I have found that my continued education has helped me greatly in my day-to-day work.