What We Do

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

Our Data

4

Terabytes of Data Captured Daily

3

Billion Google Ads per Month

8

Full Years of Clickstream Data

22.5

Million Tagged and Classified Images

14

Million Products in Catalogue

25

Million Customer Reviews

Our Teams

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

Our Blog

Introducing Harmonia: Context-Aware Product Recommendation From Room Images

September 9, 2019

Introduction When looking for a new piece of furniture to add to a room, customers generally consider two major points: the visual appearance of the new item, and its harmony with the existing furniture inside the room. Together, these two considera...

Wayfair DS Explains It All: Samuel Yusuf on Collaborative Filtering

August 14, 2019

Wayfair sells over 10 million products on our website. This vast selection ensures that customers have numerous options when shopping for a particular item; but it also makes effective, personalized product recommendations of vital importance in help...

Wayfair DS Explains It All: Jerry Chen on A/B Test Measurement Validation

July 25, 2019

Experimentation plays a central role in understanding the business impact of data science strategies and solutions. A few weeks ago, Wayfair Data Science Manager Jerry Chen shared one way Wayfair has improved the experimentation process by building a...

Who We Are

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

31

ACADEMIC DISCIPLINES

22

NATIONALITIES

62

PHDs

100+

DELIGHTFUL NERDS

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

Caltech

Susan O’Dell

Head of Operations Research

MS Operations Research

MIT

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.

Rigor

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.

Curiosity

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.

Fun

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.