What We Do
We create model driven experiments to drive business impact. Check out our blog to learn about ongoing projects!
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
Personalization & Recommendations
ML Systems Engineering
Data Science EU
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 story actually,” says Jen Wang, data science manager on the Marketing team at Wayfair. Jen a...
Meet John Walk: Ice Climber. Nuclear Physicist. Data Scientist.
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. But once you notice his Captain Hammer t-shirt, the Gandalf action figure on his desk, and start talk...
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 science perspective. In this video, we describe multiclass classification as an encoding task, i.e. ...
Who We Are
We are a diverse group of analytical problem solvers. And we might be more than a little nerdy.
Director of Data Science
University of Chicago
Head of Pricing
Head of DS Merchandising
PhD Operations Research
Head of DS Marketing
MBA Finance & Entrepreneurship
Head of Personalization & Recommendations
Head of Computer Vision
PhD Electrical Engineering
Head of Operations Research
MS Operations Research
Head of ML Systems Engineering
MBA Marketing & E-Commerce
University of Rochester
Head of Data Science EU
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.