Senior Data Scientist, Search Relevance/Ranking

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. 

The Data Science Search & Recommendations team is looking for an experienced Senior Data Scientist to deliver industry-leading product search solutions. In this role, you’ll work with a group of talented data scientists, and partner with fellow engineers, analysts, and product managers to bring to life our next generation search technologies, such as semantic search. You’ll develop and explore state-of-the-art machine learning/deep learning techniques on Wayfair’s extensive customer and product data. You’ll build search relevance models to retrieve and rank products to optimize for user experience and business metrics. You’ll scale solutions to serve billions of searches each day, invent solutions to keep the models up-to-date with newly added products and trendy search languages, and think about how to wrangle with real-time inference constraints. The models you develop will have tremendous business impact, directly measurable through our online A/B test platform. 

What You’ll Do 

• Build search relevance models with user/query intent understanding, product understanding, user targeting and ranking
• Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques
• Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
• Provide a strong partnership with business and engineering teams

What You'll Need

• 3+ years of experience in a quantitative or technical work environment with MS or PhD degree (Prefered) in a quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
• Machine Learning experience (such as supervised/unsupervised learning, deep learning, learning-to-rank, NLP, etc.)
• Industry experience in Search/Ranking with deep learning and NLP technologies strongly preferred
• Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions
• High comfort level with Python (preferred), or with other languages such as Java, C++, etc.
• An analytical, creative, and innovative approach to solving difficult problems
• Bonus points for intellectual curiosity and a strong 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.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com.