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Wayfair Data Science Tech Lead in Boston, Massachusetts

<p><strong>Who We Are</strong></p>

<p><span style="font-weight: 400;">At Wayfair, data drives all of our business decisions. The Marketing Data Science team develops machine learning models and reinforcement learning systems to power algorithmic decision-making across paid and owned media and marketing channels, including Paid Search, Display &amp; Social Ads, Direct Mail, Email Marketing, and Push Notifications, etc. These channels drive millions of site visits and billions of dollars of GRS to our business.</span></p>

<p><span style="font-weight: 400;">We are looking for an experienced data scientist to join the Data Science Marketing team, to lead development of scalable algorithms and platforms that optimize Wayfair’s marketing decisions across different channels. As a tech lead, you will develop, organize, and launch projects that span engineering and marketing organizations. You will process petabytes of data to build customer-centric ML models and power high-frequency, customer-level, decision-making systems. You will work together with other data scientists, as well as multiple marketing and engineering teams, to solve one of our most impactful and intellectually challenging data science problems at Wayfair.&nbsp;</span></p>

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

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Leverage our work in order to increase adoption across our business partners, to drive real business value</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Develop quantitative models, leveraging machine learning and advanced data analysis techniques</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Architect and build technical platforms for our algorithmic engines to run at scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong partnership with business and engineering teams</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Deliver presentations to high level business stakeholders that tell cohesive, logical stories using data</span></li>

</ul>

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

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">4+ years of industry experience in data science / machine learning</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with GCP, Airflow, and containerization (Docker) are nice to have</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions</span></li>

</ul>

<p>&nbsp;</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>

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