Gemini: Wayfair’s advanced marketing test design and measurement platform

July 8, 2019

At Wayfair, data scientists help optimize our marketing channel performance by rapidly and iteratively developing machine learning algorithms and data...

Wayfair DS Explains It All: Jinnie Chen on Product Tagging

June 24, 2019

Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creat...

Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

June 14, 2019

Executive Summary Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bo...

Wayfair DS Explains It All: Cole Zuber on Evaluating Recommender Systems

June 10, 2019

Serving effective personalized product recommendations is critical to providing a pleasant shopping experience for customers at Wayfair. To do this, t...

Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

May 28, 2019

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will ha...

Meet Jen Wang: Chemist. Traditional Chinese Medicine Enthusiast. Data Scientist.

May 14, 2019

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...

Meet John Walk: Ice Climber. Nuclear Physicist. Data Scientist.

May 14, 2019

John stands out in a room. With a flaming red beard and an arm of tattoos, he looks like he might be more at home in a Nordic tavern than an office. B...

Wayfair DS Explains It All: Peter B. Golbus on Theoretical Machine Learning

May 13, 2019

This week in Wayfair Data Science’s Explainer Series, Data Science Tech Lead Peter B. Golbus discusses machine learning from a theoretical computer ...

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