The salary range for this position is $121,000 - $132,000 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience. This is a hybrid-onsite role. Employees are expected to be in our Boston, MA office Tuesdays-Thursday, and work remotely Mondays and Fridays.    Who We Are The Supply Chain Retail Technology Data Science team is dedicated to understanding and optimizing user interactions with our Supply Chain &amp; Retail Technology suite of tools and products. SCRT Data Science is responsible for integrating analytics into the DNA of these growing tech teams, unlocking the insights that will guide the business in our quest for cost-efficient, perfect orders, at scale, with AI and data science techniques playing a crucial role in processing vast datasets and predicting optimal outcomes. We bring a multidisciplinary blend of analytical aptitude, technical expertise, business strategy, and stakeholder management. Moreover, were a highly collaborative, supportive team that values learning, psychological safety, and intentional career development.   What Youll Do <ul> <li>Own the insights that inform the SCRT product roadmap, including driving outcomes within Fulfillment, Transportation and Service Technology. </li> <li>Perform deep-dive analysis, including the application of advanced analytical techniques and data science models, to solve critical and complex business problems.</li> <li>Leverage AI-powered platforms and tools to enhance existing analytical frameworks, automate data discovery, identify hidden patterns, and generate prescriptive recommendations, accelerating the delivery of actionable insights to product and engineering teams.</li> <li>Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making.</li> <li>Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core metrics and user behavior.</li> <li>Build machine learning proof-of-concepts by developing Python code to train models and visualize their outputs, in order to demonstrate the art of the possible to stakeholders.</li> <li>Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.</li> <li>Stay abreast of the latest advancements in AI and machine learning, particularly as they apply to supply chain, logistics, and service technology, and advocate for their strategic adoption to maintain a competitive analytical edge.</li> </ul>   What Youll Need <ul> <li>Proficient knowledge of SQL and statistical programming language(s) such as Python, R, SAS, or SPSS (Python preferred)</li> <li>Expert at conducting quantitative analyses on large and complex data sets, including ability to explain techniques to both technical and non-technical stakeholders.</li> <li>Experience with experimental test design (e.g., A/B testing; Multivariate and Multi-Armed Bandit) and statistical analysis to drive business decision making.</li> <li>Experience in using AI-powered platforms to enhance and accelerate Data Science output (i.e. generating SQL and researching techniques using ChatGPT, analyzing text using Gemini Pro…)</li> <li>Experience with data visualization software (e.g. Google Looker Studio/Looker, Tableau, PowerBI).</li> <li>Experience applying data science techniques and partnering with business teams on agile model development.</li> <li>Strong written and verbal communication skills covering objectives, status, results, and recommendations.</li> <li>Bachelors in computer science, engineering, math, statistics, economics, Operations Research, Industrial engineering or other quantitative discipline; Masters preferred.</li> <li>3+ years work experience in relevant field</li> </ul><div>About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, 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. 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, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (<a href="https://www.wayfair.com/careers/privacy" target="_blank">https://www.wayfair.com/careers/privacy</a>). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at <a href="mailto:dataprotectionofficer@wayfair.com" target="_blank">dataprotectionofficer@wayfair.com</a>.</div>