What We Do

We create model driven experiments to drive business impact. Check out our blog to learn about ongoing projects!

Our Data


Terabytes of Data Captured Daily


Billion Google Ads per Month


Full Years of Clickstream Data


Million Tagged and Classified Images


Million Products in Catalogue


Million Customer Reviews

Our Teams

Personalization & Recommendations
ML Systems Engineering
Operations Research
Computer Vision
Data Science EU

Our Blog

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 question of how an individual’s behavior will change if we give him/her a specific treatment. At Wayfa...

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 implications are directly relevant to much of the work that data scientists are doing today—includin...

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 creating all of the necessary elements to allow them to do that is not as easy as one might think. Ri...

Who We Are

We are a diverse group of analytical problem solvers. And we might be more than a little nerdy.









Our Leaders

Dan Wulin

Director of Data Science

PhD Physics

University of Chicago

Corey Gilbertson

Head of Pricing

BA Economics

Hamilton College

Tulia Plumettaz

Head of DS Merchandising

PhD Operations Research

Columbia University

Anvesh Sati

Head of DS Marketing

MBA Finance & Entrepreneurship

Babson College

Sunanda Parthasarathy

Head of Personalization & Recommendations

PhD Physics

Purdue University

Jae-Woo Choi

Head of Computer Vision

PhD Electrical Engineering


Susan O’Dell

Head of Operations Research

MS Operations Research


Franklyn Tamalenus

Head of ML Systems Engineering

MBA Marketing & E-Commerce

University of Rochester

Benjamin Schroeder

Head of Data Science EU

PhD History

Humboldt University of Berlin

How We Work

Here at Wayfair Data Science, our core values are rigor, curiosity, and fun.


From search engines to shipping logistics, Data Science is central to everything we do at Wayfair. As such, it's vital that we get things right. Our thorough in-house testing platform, rolling code deployments, and iterative research-style approach ensure that our work is thorough, precise, and driving the business.


Wayfair’s abundance of data means that there are always new problems to be solved. As such, team members are empowered to explore our data to develop new, high impact ideas and then develop experiments to probe those questions. We also partner with professors and students from Harvard, MIT, Stanford, Columbia, and Cornell to bring the most advanced ML technologies into production.


No one is too busy to brainstorm or answer a question, and code is shared as freely as the snacks in the kitchen. We like doing things together, whether that means collaborating on a pricing experiment or going rockclimbing, kayaking, painting, or visiting a distillery with our coworkers during our monthly pod outings.