Director of Data Science & Machine Learning - Search

Boston, MA

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Who We Are

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. 

We are searching for an experienced machine-learning leader to head up the research and development of the models that power our onsite Search engine which directly contributes to a significant share of Wayfair overall revenue. In this role, you will manage and grow an existing team of scientists & machine-learning engineers and pursue innovative ideas to build the next generation of Wayfair’s search stack. You will collaborate closely with the engineering, analytics, and product leads within our Search Technologies group to define the technical vision and build the organization and culture required to execute on it. 

This is an opportunity to join the senior leadership of a growing team with a tangible impact on the performance of Wayfair’s overall business. You will directly impact and drive forward key initiatives. This role is a cornerstone of the Data Science Search & Recommendations organization, with broad visibility and close communication with leaders across the business up to Executive level.

What You’ll Do

  • Lead the research & implementation agenda for all modeling efforts in Wayfair’s Search domain
  • Manage a team of data scientists and machine-learning engineers, developing leaders to continuously grow the team and modeling a culture of continuous research and innovation
  • Collaborate closely with the product and engineering leaders in our Search technologies group to build a next-generation Search stack and the organization required to maintain and innovate on it
  • Contribute as a senior leader beyond the Search & Recommendations group, in particular within Wayfair’s broader DS&ML community

What You’ll Need

  • Experience managing teams, including developing managers up to director level
  • Track record of building scalable customer-facing machine learning products that work in real-time
  • Familiarity with the information retrieval domain, experience building applications around inverted index technology such as Solr/ElasticSearch/Lucene
  • Ability to laterally influence partners to shape technical roadmaps and the organizations required to drive them
  • Advanced degree (PhD preferred) in a relevant field such as computer science, or equivalent research experience in an industry setting
  • Intellectual curiosity and a desire to always be learning!

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, or genetic information.

Tags: Computer Science Elasticsearch Engineering Machine Learning PhD Research

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  2  0  0

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