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Wayfair Principal Data Scientist - Multi-objective Optimization in Boston, Massachusetts

<p><span style="font-weight: 400;">As Principal Scientist within our Search &amp; Recommendations group, you will drive our biggest challenges, turning business asks and creative ideas that do not have an obvious blueprint into scalable modelling solutions that run in real-time. This is an individual-contributor role focused on research and implementation of novel approaches and techniques that cut across our entire stack of recommendations: from our Search engine via our Browse experience to our Marketing emails, you will touch the experience of all of our customers across all of our sites, apps, and marketing channels. You will get an opportunity to work with one of the largest e-commerce datasets out there, come up with innovative algorithms and solutions, and work with a growing team of currently 65 to test these solutions in live experiments, and implement them as scalable production systems.</span></p>

<p><strong>What you will do</strong></p>


<li style="font-weight: 400;"><span style="font-weight: 400;">Solve novel machine-learning and optimization problems that won’t always have a blueprint</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Keep abreast of relevant research and use it to come up with your own ideas of how to improve our approach</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Be a key contributor to the data science and machine-learning community, both within and outside of Wayfair</span></li>


<p><strong>What you bring</strong></p>


<li style="font-weight: 400;"><span style="font-weight: 400;">10+ years of experience in research &amp; development, with substantial time spent both in an academic setting and within industry or a research-lab type of environment</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact and/or publications</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Previous expertise in multi-objective and constrained optimization</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">You are hands on and comfortable coding on an industry-standard machine-learning stack (Hadoop/Bigquery, Spark, Python, Jupyter)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">You love seeing your work through to customer impact!</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>