Senior Data Scientist - Product Recommendations

San Francisco, CA

Full Time Senior-level / Expert
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Wayfair Inc.
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Which products, out of millions of options, are customers seeing when they browse our websites? How to dynamically improve product recommendations to best serve both our customers and suppliers?

 

Wayfair’s Recommendations team provides the core platforms and services that allow our customers to discover and buy the products they love by serving the right content to every customer on every touchpoint. Our systems leverage Wayfair’s extensive customer and product data to deliver trusted and valuable recommendations and results in real time using custom machine learning models. Our mission-critical services are called over a billion times a day.  Recommendations is a core competency for Wayfair and a high priority lever we’re using to drive outsized growth, customer value, and profitability.

 

The Product Recommendations team is searching for a Senior Data Scientist to join our sort optimization team. This team develops the algorithms that focus on our two-sided marketplace, by simultaneously optimizing for the happiness of both our customers and our suppliers.  In this role, you’ll partner with fellow data scientists, engineers, analysts, and product managers to apply data science and machine learning skills to bring our next generation recommendation platform to life. The ideal candidate enjoys sitting at the boundary of data science and engineering, and is comfortable working with partners across the organization to distill ambiguous business asks into technical plans. This is an exciting opportunity to join a growing team with a tangible impact on the performance of Wayfair overall. You will directly impact and drive forward key business initiatives. Above all, you’ll get to work on problems that are both intellectually-challenging and drive real, measurable impact through our online A/B test platform. 

 

What You’ll Do 

  • Develop quantitative models, leveraging machine learning and advanced data analysis techniques
  • Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
  • Coordinate, prepare, launch, and assess live experiments in order to measure the incremental impact of your own work and/or the work of partner teams
  • Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how act on findings
  • Drive adoption & utilization of your products across the organization in ways that drive real business value
  • Architect and help define the required technical platforms that enable us to produce models at scale 

 

What You'll Need

  • 2+ years of experience in a quantitative or technical work environment, or an advanced degree (PhD) in quantitative field (e.g. mathematics, economics, computer science, statistics, engineering, physics, neuroscience, operations research etc.)
  • Ability to effectively partner with cross-functional leads: strong communication skills, ability to synthesize conclusions for non-technical partners, and a desire to influence business decisions
  • Ability to thrive in a dynamic environment where Data Science plays a key role in shaping business & technical priorities
  • Machine Learning experience in a professional or advanced academic setting (e.g., supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.)
  • High comfort level with Python (preferred), or with other programming languages. Experience with big data tools such as Hadoop, Spark, Presto, etc.
  • Prior experience building scalable data processing pipelines with big data tools such as BigQuery, Spark, etc. Experience with Airflow and containerization (Docker) are nice to have
  • Experience with multi-objective optimization is a bonus
  • 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.

Job region(s): North America
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