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Wayfair Senior Data Science Manager - Online Video Marketing in Boston, Massachusetts

<p><span style="font-weight: 400;">Wayfair.com is a leader in the e-commerce space for all things home. Wayfair’s community of Data Scientists are obsessed with using data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and provide a unique purchase and delivery experience. Come help us innovate and grow to our next $10B in revenue!&nbsp;&nbsp;&nbsp;</span></p>

<p><span style="font-weight: 400;">We are looking for an experienced Machine Learning Leader to start and manage a team of data scientists that are building Wayfair’s cutting edge ML products and platforms in the Video advertising space. This includes but is not limited to the intricacies involved in operationalizing and scaling ML models to power millions of dollar day-to-day buying decisions, determining the best way to measure and scale our creative and process, and driving forward a mission in partnership with our in-house buying agency on platforms like Youtube, Facebook, OTT partners, Linear TV, and other sources of video based marketing.</span></p>

<p><span style="font-weight: 400;">We’re looking for someone who not only enjoys writing code and seeing their ideas come to fruition on a global scale, but is also able to upskill the engineers, data scientists, and marketers around them through leading by example. In this role, you will be owning the development of how we approach and use data to drive a cohesive platform for buying and creating Video based marketing.</span></p>

<p><strong>What You'll Do</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Architect and develop end-to-end Machine Learning models and platforms to handle and scale Video marketing.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Leverage your deep knowledge of ML models to build scalable solutions across digital platforms and traditional linear TV.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Think outside of the current technology/stack limitations to push the boundaries on what is possible and deliver feasible solutions collaboratively.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Champion open source solutions and Google Cloud native technologies, and their application to our use cases</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Lead a program of accurate measurement and A/B testing around Video assets</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Partner with marketers to understand pain points and translate them into clear and robust data science solutions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build and own execution of a technical roadmap, ensuring that the vision aligns with broader company objectives</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build and manage a group of high performing data scientists and help grow the organization through mentorship and developing learning opportunities</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Promote a culture of data science excellence and strengthen the technical expertise of our engineering and marketing teams&nbsp;</span></li>

</ul>

<p><strong>What You'll Need&nbsp;</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">3+ years of experience in data science and machine learning including designing and building production models at scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">2+ years experience managing data science teams</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience developing data pipelines, and orchestrating deployment of ML models, and running experiments to validate your models</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Excellent communication skills with demonstrated experience driving teams forward and ability to influence technical decisions to line up with the company’s strategy</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Hands-on experience driving data science development within high-growth environments at scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Excellent organizational, analytical, and hypothesis- driven critical thinking skills to transform data into actionable insights</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Track record of delivering novel data science solutions in an advertising space</span></li>

</ul>

<p><strong>Nice to Have</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Mix of start-up and large-company experience working on Machine Learning solutions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Direct experience working with Video platforms for digital or linear TV based marketing campaigns</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience partnering with outside marketing vendors on measurement and/or data integration, experience with privacy-protected data integration a plus.</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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