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 ...

Introducing RoSE: Wayfair’s Room Style Estimator

May 9, 2019

Introduction: Interior design and home decoration involve a high amount of guesswork. In addition to the visual appearance of each individual item, t...

Wayfair DS Explains It All: Esra Cansizoglu on Object Pose Estimation

April 29, 2019

This week in Wayfair Data Science’s explainer series, we’re discussing object pose estimation, an important problem in robotics and augmented real...

How We Detect Anomalies in Our Product Recommendations Metrics

April 11, 2019

Introduction If you are a Wayfair customer looking for some wall art to decorate your house, chances are you will land on our wall art SuperBrowse pa...

Wayfair DS Explains It All: Foundational Assumptions of Experimentation and Linear Regression

April 8, 2019

Wayfair has a strong emphasis on causal inference when evaluating the impact of business strategies. The assumptions of experimentation and regression...

Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis

March 18, 2019

This week in Wayfair Data Science’s explainer series, Senior Machine Learning Engineer Tim Zhang lays out what you need to know about training image...

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