Senior Manager - Data Science, Search

Boston, MA

Own the multi-year vision for the development of how we algorithmically surface results to user queries

Work cross-functionally with Wayfair engineering, data science & product organisations to define and execute the technical road map

Lead a team that applies state of the art machine learning, including Deep Learning and NLP, to transform how we enable users to search on our site

Oversee the algorithm development process, focussing on fast model iteration & testing to measure and evaluate success

Master’s degree in Computer Science, Engineering or related fields; PhD preferred

Relevant experience leading or working with multi-disciplinary technical teams: scientist, engineers, and varied levels of experience

Interest in Search, good command of general Machine Learning techniques (including Deep Learning), Information Retrieval & Natural Language Processing

Relevant experience designing & implementing customer facing systems: scalable, fast & resilient

Track record of delivery large cross-functional projects

Good understanding of experimentation techniques for design of A/B tests to measure impact

Communication skills that can influence cross organizations

Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods. This leader will own the algorithmic vision for our Search product, lead a team of scientists and work in partnership with our engineering & product organizations to design a multi-year roadmap and execute the goal of building a search platform that is ever evolving to better help our customers to discover and purchase the goods they love for their homes. This is an ideal opportunity for a leader that enjoys scientific and technical challenges, is passionate about innovation & and is eager to make an impact by transforming Wayfair Search Engine through advance Machine Learning & Deep Learning techniques.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, or genetic information.