Job Description

Pay Competitive

Employment type Full-Time

Job Description

Req#: 6696368002

Who We Are

Wayfair believes everyone deserves a home they love and that furnishing your home should be a source of fun, not anxiety. Our product team plays a crucial role in making this vision a reality for millions of people around the world. Partnering with engineering, UX design, analytics, and business partners across Wayfair, our product team ensures that we’re building technology that solves important customer problems in elegant, scalable, measurable ways. We have a modern tech stack including sophisticated capabilities around AI, data science, multivariate testing, and personalization. We’re a highly collaborative, supportive team that values learning, psychological safety, and intentional career development. The Machine Learning Platforms team is at the center of Wayfair’s customer experience. We provide data scientists and machine learning engineers with libraries, tooling, clients, and systems that accelerate the end-to-end lifecycle of an ML model – all at high scale and low latency.

What You'll Do:

• Serve as a thought leader on how Wayfair’s data science teams can accelerate their work.
• Lead highly cross-functional work streams across multiple organizations within Wayfair
• Conduct discovery activities to deeply understand the needs of data scientists and machine learning engineers (MLEs)
• Translate insights gained into actionable roadmaps and requirements for the engineering team to deliver

What You’ll Need:

• 7+ years building software products or infrastructure at scale with measurable impact and ideally across multiple platforms or workstreams.
• 3+ years of experience in shipping platforms for data, ML, and/or infrastructure
• Ability to take ownership, responsibility and act as a visible leader while being humble and inclusive
• Passion for ML and knowledge of various ML frameworks and data science platforms
• Ability to understand data scientist's and ML Engineer's workflows and their problems
• Proficiency in coding and experience with data manipulation, building models, and productionizing applications
• A Customer-centric mindset with a strong ability to conduct rigorous customer interviews and convey the why behind decisions
• Strong analytical and strategic thinking skills with a focus on long-term roadmap planning
• Excellent communication and presentation skills to effectively convey ideas and tradeoffs to senior stakeholders
• Strong problem-solving and critical thinking skills, with the ability to dive deep into data and produce actionable insights
• Experience with marketing products and generating awareness through creative and compelling ways
• Ability to dive deep into data, understand system architecture, question it with a healthy dose of skepticism, and augment team implementations with what if questions to improve the product.

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

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

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Job Tags

Full time,

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