<p><strong>Who We Are:</strong></p><p>We are looking for a Senior Economist with a background in causal inference to join the SCRT Science team at Wayfair. SCRT Science is a team of machine learning scientists and economists that solve a wide array of challenging problems focused around short and long-term impacts of supply chain management (e.g. shipping speeds, late deliveries), speed to competency and agent/associate behavior in Service & Supply Chain; and machine learning models to predict various supply chain events. We work closely with business teams and technology teams to understand problem space deeply, identify appropriate and efficient statistical solutions, and embed the resulting models into business decision-making and/or algorithms.</p><p>Wayfair is a Fortune 500 technology company, selling home goods (including furniture), primarily online. As an economist, you will be joining us at an exciting moment in the company’s growth and help to solidify our internal science culture. The existing group provides a powerful community of colleagues, while still allowing you to have an outsized opportunity for impact at the company level and visibility to senior leaders across the organization. You will also work with machine learning scientists and engineers, sharing a range of perspectives on how to best approach problems.</p><p>Culturally, we value strong collaboration across diverse backgrounds and perspectives to make better decisions. We deliver impact incrementally while focusing on long-term goals. We seek and provide honest, empathetic feedback and always strive to improve. </p><p><strong>What You’ll Do:</strong></p><ul><li>Causally estimate the effectiveness of various business levers using both observational and experimental data (including designing and overseeing experiments). This often requires applying cutting-edge methods from the frontier of academic literature in causal inference. </li><li>Work with business partners to prioritize high-impact projects. Translate broad business requests into actionable science project plans that may involve many scientists. </li><li>Work closely with partner business teams to advise on how causal estimates should be integrated into systems and decision-making. </li><li>Communicate the value of your work (and rigorous causal inference in general) to a broad audience, both business and technical. </li><li>Work closely with engineering partners to build robust data pipelines and APIs required to update estimates periodically and surface causal estimates to other teams in the appropriate format. </li><li>Contribute to the science culture at Wayfair, including mentoring junior scientists, participating in internal journal clubs, providing feedback in design reviews, and participating in conferences. </li></ul><p><strong>We Are a Match Because You Have:</strong></p><ul><li>Ph.D. in economics or another field performing quantitative causal analyses with a modern toolkit (quantitative marketing, political science, applied statistics, etc). </li><li>2+ years of experience in causal inference in industry, consulting, or academia.</li><li>Strong intuition about causal inference, applied econometrics, and applied microeconomics, including a wide and deep applied econometric toolkit. Some experience with machine learning is a plus.</li><li>Ability to effectively work with business leads and data scientists, including strong verbal and written communication skills, ability to synthesize conclusions for non-experts, and desire to influence business decisions.</li><li>Genuine interest in collaborating and mentoring other scientists on the team and across Wayfair. </li><li>Experience implementing models in Python is a plus.</li><li>Prior experience working with large datasets, leveraging tools like Spark, Hive, Airflow and experience with Google Cloud Platform is a plus.</li></ul><p><strong>Why You’ll Love Wayfair:</strong></p><ul><li>Time Off:</li><ul><li>Paid Holidays</li><li>Paid Time Off (PTO)</li></ul><li>Health & Wellness:</li><ul><li>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</li><li>Life Insurance</li><li>DIsability Protection (Short Term & Long Term DIsability) </li><li>Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</li><li>Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</li><li>Caregiver Services</li></ul><li>Financial Growth & Security:</li><ul><li>401K Matching (Employee Matching Program)</li><li>Tuition Reimbursement </li><li>Financial Health Education (Knowledge of Financial Education - KOFE)</li><li>Tax Advantaged Accounts</li></ul><li>Family Support:</li><ul><li>Family Planning Support</li><li>Parental Leave</li><li>Global Surrogacy & Adoption Policy</li></ul><li>Professional Development & Recognition:</li><ul><li>Rewards & Recognition </li><li>Global Employee Anniversary Awards </li><li>Paid Volunteer Work </li></ul><li>Unique Perks:</li><ul><li>Employee Discount </li><li>U.S. Bluebikes Membership</li><li>Global Pod Outings</li></ul><li>Work/Life Balance:</li><ul><li>Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments </li></ul></ul><p>We are looking forward to your application!</p><div class="content-conclusion"><p><strong>Assistance for Individuals with Disabilities</strong></p><p>Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our <a href="https://docs.google.com/forms/d/1ElBqKaQYGR9j0NiQHQYCGbHkqKqN746Nk62pI32IyLU" target="blank">Accomodations for Applicants form</a>.</p><p><strong>Need Assistance?</strong></p><div id="1679926604.128979" class="c-virtuallistitem c-virtuallistiteminitial-activeitem" data-qa="virtual-list-item" data-item-key="1679926604.128979"><div class="c-messagekitbackground c-messagekitbackgroundhovered p-messagepanemessagemessage c-messagekitmessage" data-qa="messagecontainer" data-qa-unprocessed="false" data-qa-placeholder="false"><div class="c-messagekithover c-messagekithoverhovered" data-qa-hover="true"><div class="c-messagekitactions c-messagekitactionsdefault"><div class="c-messagekitgutter"><div class="c-messagekitgutterright" data-qa="messagecontent"><div class="c-messagekitblocks c-messagekitblocksrichtext"><div class="c-messagemessageblocks c-messagemessageblocksrichtext" data-qa="message-text"><div class="p-blockkitrenderer" data-qa="block-kit-renderer"><div class="p-blockkitrendererblockwrapper p-blockkitrendererblockwrapperfirst"><div class="p-richtextblock"><div class="p-richtextsection">For more information about applying for a career at Wayfair, visit our <a href="https://www.aboutwayfair.com/careers/careers-faq" target="blank">FAQ page here</a>. </div></div></div></div></div></div></div></div></div></div></div></div><p><strong>About Wayfair Inc.</strong><br>Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</p></div>
