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Staff Data Science Engineer, Storefront Recommendations 116 views

The Data Science Search & Recommendations team is looking for an experienced Data Scientist to focus on leveraging customer behavior and product attributes to personalize the Wayfair customer experience. In this role, you’ll partner with fellow data scientists, engineers, analysts, and product managers to bring their next-generation deep learning ranking models to life. You’ll spend one part of your day reading white papers and the other part of your day implementing them. You’ll test and explore state-of-the-art deep learning architectures on terabytes of data. You’ll explore how to evaluate and de-bias recommender systems offline. You’ll scale solutions to serve billions of recommendations each day, explore the combinatorial explosion of product options in the Wayfair catalog, and think about how to wrangle with real-time inference constraints. The models you develop will have a tremendous business impact, directly measurable through their online A/B test platform.

What You’ll Do

    • 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
    • Architect and build technical platforms for our algorithmic engines to run at scale
    • Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
    • Provide a strong partnership with business and engineering teams

What You’ll Need

    • 4+ years of experience in a quantitative or technical work environment, and advanced degree (Ph.D.) in a quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)
    • An intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
    • 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 R, Java, C#, etc.,
    • Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, NLP, etc.)
    • Deep Learning, Learn-to-Rank, and Recommender systems experience strongly preferred
    • Ability to thrive in a dynamic environment where there can be degrees of ambiguity
    • Bonus points for intellectual curiosity and a strong desire to always be learning

About Us

Wayfair is one of the world’s largest online destinations for the home. Whether you work in their global headquarters in Boston or Berlin, or in their warehouses or offices throughout the world, they’re reinventing the way people shop for their homes. Through their commitment to industry-leading technology and creative problem-solving, they 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. They’re a community of innovators, risk-takers, and trailblazers who celebrate their differences, and know that their unique perspectives make them stronger, smarter, and well-positioned for success. They value and rely on the collective voices of their employees, customers, community, and suppliers to help guide us as they build a better Wayfair – and the world – for all. Every voice, every perspective matters. That’s why they’re proud to be an equal opportunity employer. They 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.

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  • Location Boston
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