How to enable data scientists to stop managing ETL pipelines and get back to doing data science: Part I

February 11, 2020

Part I: How to build tools that you can hand off to data scientists [feature of Hoover tool]   Summary Business moves fast and data science ru...

Bayesian Product Ranking at Wayfair

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 ran...

ReCNet: Deep Learning based Cross-class Recommendations at Wayfair

December 12, 2019

Introduction The main objective of our recommender systems is to narrow down Wayfair’s vast catalogue to assist customers in finding exactly the pr...

BERT Does Business: Implementing the BERT Model for Natural Language Processing at Wayfair

November 27, 2019

Introduction Every day, Wayfair receives tens of thousands of messages from customers, telling us about their experiences with our products and servi...

We’re Never Done: Continuing My Education At Wayfair

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 en...

Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria

October 28, 2019

Introduction Uplift models predict the incremental effect of a treatment on the outcome of an individual. In other words, they answer the causal ques...

The Lucas Critique and the Necessity of Theory

October 16, 2019

The Lucas Critique, named after economist Robert Lucas, is a theoretical result that blew up the discipline of macroeconomics in the 1970s, and its im...

Wayfair DS Explains It All: Anurag Syal on Projection Mapping in 3D

October 3, 2019

At Wayfair, we do everything we can to help our customers find exactly the products they need to furnish their homes in the style they envision. But c...

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