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Wayfair Senior Data Scientist-Marketplace Economics team in Boston, Massachusetts

<h2><strong>Job Description</strong></h2>

<p><span style="font-weight: 400;">We are looking for a Data Scientist to join the Marketplace Economics team. We use econometrics, analytics, big data, statistics, and machine learning to coach suppliers and delight customers.</span></p>

<p><span style="font-weight: 400;">Our work touches many data science domains. We consist of: economists who design strategies and model/test responses to them (structural modeling and causal inference), machine learning engineers who build predictive models (supervised and unsupervised), data engineers who build distributed ETL pipelines and robust data products for customer- and supplier-facing platforms, and business strategy partners that align our solutions with what will benefit Wayfair/customers/suppliers. We are looking for a generalist that is eager to grow in and collaborate across all of these domains.</span></p>

<p><span style="font-weight: 400;">Culturally we&nbsp;</span></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Value respect, inclusion, collaboration, integrity, and grit.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Make decisions based on what is long-term best for Wayfair, its customers and suppliers. Not what is short-term best or best for our team.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Provide and seek feedback. We care personally about the team and challenge directly to ensure we always raise each others’ standards.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Empower and sponsor colleagues.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Stay nimble by simplifying solutions to quickly iterate upon.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Seek different perspectives to make better decisions.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Embrace people for who they are, what they are interested in, and their unique strengths no matter their background.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Accomplish a large amount of high impact work.</span></li>

</ul>

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

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Design and implement</span></li>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experiments to measure how customers and suppliers respond to Wayfair’s strategies.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Algorithms to put measurements into action</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Supervised and unsupervised models</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Robust data pipelines</span></li>

</ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Scope concrete data science solutions to ambiguous business problems.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate with economists, machine learning engineers, data engineers, and business stakeholders to ensure the end-to-end success of your solutions.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Communicate the value of your work through logical, cohesive stories.</span></li>

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

<li style="font-weight: 400;"><span style="font-weight: 400;">Mentor and empower junior data scientists.</span></li>

</ul>

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

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">The ability to learn fast, a willingness to work hard, integrity, grit, compassion, and a team-first attitude.&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Genuine interest in the happiness, well-being, and success of everyone on your team.</span></li>

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

<li style="font-weight: 400;"><span style="font-weight: 400;">2+ years of experience in a quantitative or technical work environment or advanced degree (Masters / PhD) in quantitative field (e.g. data science, mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Proficient at one or more programming languages</span><span style="font-weight: 400;">, e.g. Python, R, Java, C++, etc. Experience using these to build machine learning models or run econometrics.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Prior experience building data processing pipelines. For example, with tools such as SQL, Hive, Spark, BigQuery, or Airflow.</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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