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Wayfair Senior Data Science Product Manager in Boston, Massachusetts

<p><span style="font-weight: 400;">Our Data Science Product teams drive the development of the world-class Data Science / Machine Learning capabilities that power Wayfair’s transformation of retail for home. Wayfair is an enterprise obsessed with data, where Data Science / Machine Learning plays an ever-increasing role in how we serve our customers.</span></p>

<p><span style="font-weight: 400;">This role will directly enable the growth of Catalog Data Science at Wayfair. The Catalog Data Science team’s objective is to improve both the end customer experience and Wayfair’s internal operations via a Data Science driven understanding of our catalog of millions of products, that is more scalable, automated and robust than traditional methods. This could include extracting a product’s attributes from imagery and text to improve our merchandising, graphing the similarity between products to help customers find substitutes, or predicting a new product’s long-term sales potential to ensure investments are informed by returns from future sales.&nbsp;</span></p>

<p><span style="font-weight: 400;">Data Science Product is a highly collaborative and outcome-focused team that works with cross-functional executive leaders, as well as a high performing team of engineers, data scientists and analysts to establish and deliver the vision, strategy and roadmap for our products. We are curious and motivated to improve and innovate. We are a supportive team that values learning, psychological safety and intentional career development.&nbsp;</span></p>

<p><strong>What You’ll Do:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Establish vision, strategy, and product roadmap for the Catalog Data Science - Product Platform team. You will own your roadmap, measure performance, keep your pulse on the customer, anticipate bottlenecks, make tradeoffs, and take acceptable risks to maximize the benefit for our customer and business</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build and lead a cross-functional team of data scientists, ML engineers, analysts, and other internal partners to envision, build, and deliver measures of product by leveraging techniques including computer vision, natural language processing, and machine learning</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Lead your teams to deliver business impact by launching and iteratively optimizing data science products and services via integrations across the business, including marketing, search, pricing, and catalog assortment functions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Improve your data science products and user experience in ways that lead to measurable gains through metrics that you will broadly define</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Drive the development of machine learning-centric products that generalize and scale across the full scope of our catalog. Your domain will include platform development, developing new products or product features, and integrating cutting-edge product capabilities across the full breadth of Wayfair’s catalog&nbsp;</span></li>

</ul>

<p><strong>What You’ll Need:</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Demonstrated success in working with a cross-functional team including data scientists, ML engineers, and analysts to build data science products through the entire machine learning lifecycle</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experienced in taking highly complex or ambiguous business problems, successfully lead strategic vision setting, and identify and prioritize near-term actions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Superior communication skills with demonstrated ability to navigate a complex organization and generate buy-in for ideas and plans</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Excellent analytical skills with demonstrated experience in hypothesis-driven learning and turning data into actionable insights</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Track record of successfully leading and growing teams that are highly effective both in terms of business impact and team culture</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Ability to balance the development of new product capabilities with scaling integrations across a wide range of internal Wayfair stakeholder teams</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Bachelor’s degree or equivalent practical experience</span></li>

</ul><div class="content-conclusion"><p><strong>About Wayfair Inc.</strong></p>

<p>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.</p>

<p>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.</p></div>

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