Job Description

Manager, Personalization Machine Learning Science

Pay Competitive

Employment type Full-Time

Job Description

Req#: 6684552002

The Team

Wayfair Machine Learning 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 Search & Recommendations Machine Learning Science team is looking for an experienced Machine Learning Senior Manager to lead one of Wayfair’s recommendation science teams. In this role, you’ll be part of the Search & Recommendations leadership. You’ll lead a small team of machine learning scientists and machine learning engineers, leveraging customer behavior and Wayfair’s content and product data to create a tailored customer experience. We are looking for a candidate who would lead the team to build and implement personalized product recommendations, customer understanding, and personalized content targeting strategies using state-of-the-art machine learning and deep learning techniques.

You’ll own crafting a research agenda and ensuring its execution, constantly improving on the current status quo of our personalization models, and you’ll partner closely with leaders on engineering, analytics, and product management to bring our next generation personalization models to life. Your work will empower Wayfair’s customers to find their home needs faster and more efficiently while helping Wayfair’s suppliers to increase the reach of their products. This is a strategic role: your work will be far reaching, supporting recommendations across our storefront, email, and marketing channels, serving more than a billion recommendations each day.

Responsibilities:

• Manage a team of ML scientists and ML engineers to develop, test, and deploy machine learning models for personalization
• Lead the development of algorithms and models for personalized content targeting strategies and dynamic layout generation
• Collaborate with Product Management and stakeholders in identifying and prioritizing new personalization opportunities and features based on Wayfair’s proprietary data, customer insights, business goals, and data analysis
• Work closely with engineering partners to integrate any new and improved models into our platform, creating one-to-one personalized experiences for our customers
• Define and implement best practices for data collection, processing, and model training to ensure high-quality personalization solutions
• Manage project timelines and resources to ensure timely and successful delivery of personalization initiatives

Requirements:

• Advanced degree in Computer Science, Data Science, Statistics, or equivalent experience
• Track record managing a team in a machine learning or data science role
• You have built, deployed, and maintained multiple machine learning models in production, ideally in a recommender systems context
• High comfort level with programming skills in Python or Java, and experience working with big-data technology such as BigQuery or Spark; ideally familiarity with cloud-based platforms (we use GCP)
• Ability to condense technical subject matter for non-technical audiences and to deal with ambiguity in a dynamic environment with shifting priorities
• Lastly, you enjoy working collaboratively and contributing to a positive team culture!

Assistance for Individuals with Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form .

Need Assistance?

For more information about applying for a career at Wayfair, visit our FAQ page here .

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, genetic information, or any other legally protected characteristic.

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.

About the company

Wayfair Inc. is an American e-commerce company that sells furniture and home-goods.

Notice

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Job Tags

Full time, Shift work,

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