Who We Are
Wayfair’s Machine Learning team builds the algorithmic systems that drive our business, enhance customer experience, & improve customer loyalty. This ML team develops advanced machine learning and econometric models to power a range of high value initiatives for Wayfair: (1) deep catalog understanding to power tagging, comparisons of products and identification of high potential products in our catalog (2) drive pricing and profitability for all of Wayfair, and (3) drive efficiencies and improve outcomes across the Wayfair’s B2B and Sales programs.
We are looking for an ML scientist to join the Global Supplier Tech Science and Analytics team, with an emphasis on developing scalable algorithms and platforms to better serve Wayfair’s customers. You will need to own the design, prototyping, implementation and governance of ML models. You will be working together with other data scientists, as well as multiple business and engineering teams to solve some of the most impactful and intellectually challenging data science and machine learning problems at Wayfair.
What You'll Do
We Are A Good Match Because You Have:
Why You’ll Love Wayfair:
About Wayfair Inc.
Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at [email protected].
