At Wayfair, data scientists help optimize our marketing channel performance by rapidly and iteratively developing machine learning algorithms and data-driven strategies. When it comes to measuring model efficacy, AB testing plays a central role and serves as a gold standard in strategic decision making within marketing. Due to the natural……
As a 2018 summer software engineer intern, I had the opportunity to bring my vision of a Community Coding Day to life. Our goal for Community Coding Day was to inspire students from underrepresented groups to get involved in STEM – software engineering in particular – as well as provide…
Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creation and more.This week in Wayfair Data Science’s explainer series, Senior Data Scientist Jinnie Chen outlines some of the strategies we applied in Wayfair to perform automated product……
Continuous Integration and Continuous Deployment (CI/CD) are industry standard, best practices for web-scale software engineering. Wayfair has practiced CI for well over a decade, although the ways in which we have performed it have changed over time. I’m here to share with you the system we have built to coordinate…
Executive Summary Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bounding boxes of the objects in an image along with the class information (Figure 1), which empowers many downstream applications. In this post, we will share a……
Domain-specific languages (DSLs) – are they worth the hype? In a recent investigation, our Berlin-based Android Team were looking to further optimize Wayfair’s Android app, and were looking around for options. With the inconvenience of creating a UI in XML, and the appeal of a language that focuses on a…
Serving effective personalized product recommendations is critical to providing a pleasant shopping experience for customers at Wayfair. To do this, the Wayfair Data Science team builds state of the art recommender systems that leverage the customer’s previous browsing history to surface products that match their interests. This week in Wayfair……
Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will have atrocious recall. In this video, Wayfair Senior Data Scientist Trent Woodbury explains the three most common ways of handling this imbalanced data problem. Trent Woodbury……
Tech Together Boston (F.K.A. SheHacks Boston) is Boston’s largest all-female and non-binary hackathon. The event aims to bring together and empower femme and non-binary individuals interested in tech by providing a welcoming, collaborative environment where they can thrive and explore careers in software engineering, product development, and design. The event…
When it comes to mobile platforms, Wayfair has multiple end user focused apps across iOS and Android, with over 100 engineers working on them. As the recently appointed lead of the App Team here at Wayfair, I chose to ask fairly generic yet consistent questions upon my arrival to get…
How does a chemist with a postdoc in drug design end up working as a data scientist at an e-commerce home furnishings company? “Ha, so it’s a long story actually,” says Jen Wang, data science manager on the Marketing team at Wayfair. Jen always had an interest in healthcare, and……
