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Wayfair Staff Data Scientist - Marketing Optimization in Boston, Massachusetts

<p><em><span style="font-weight: 400;">By applying to this position, your application is automatically considered for the range of Data Science Tech Lead roles we have at Wayfair. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail.</span></em></p>

<p><span style="font-weight: 400;">Wayfair is a leader in the e-commerce space for all things home. Wayfair’s community of Data Scientists use 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 our Marketing Data Science team drives development of world-class Machine Learning systems that improve our customer understanding and drive marketing decisions, ultimately enhancing customers’ shopping experience. Come help us innovate and grow to our next $10B in revenue!</span></p>

<p><span style="font-weight: 400;">We’re looking for an experienced Machine Learning Leader to drive the vision for a new area of model development in the Notifications Marketing space, operationalizing and scaling Machine Learning models and/or Reinforcement Learning systems to drive marketing decisions for Email and Push notifications. 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 coach and upskill the data scientists, engineers, and marketers around them through leading by example.</span></p>


<p><strong>What you’ll do</strong></p>


<li style="font-weight: 400;"><span style="font-weight: 400;">Drive the vision for a new area of machine learning work with an ambitious charter</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Architect and develop end-to-end Machine Learning models/Reinforcement learning systems, working collaboratively with your team and cross-functional partners to build scalable solutions</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;">Help grow the team 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 data science, engineering, and marketing teams</span></li>


<p><strong>What you’ll need</strong></p>


<li style="font-weight: 400;"><span style="font-weight: 400;">5+ years of experience working as a professional data scientist or ML engineer, including autonomously designing and building production models and algorithmic decision-making systems at scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">2+ years of experience </span><span style="font-weight: 400;">mentoring and developing data scientists, analysts, or engineers</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Hands-on experience developing and deploying ML models, data pipelines, and running experiments to validate your models</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;">Nice-to-haves:</span></li>


<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with Google Cloud Platform, Airflow, and containerization (Docker)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience using Contextual Multi-armed Bandits, or Reinforcement Learning in an applied setting</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Advanced degree (Master or PhD) in a quantitative field</span></li>



<p><br><br></p><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>