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Wayfair Sr. Manager, Forecasting in Boston, Massachusetts

<p><strong>Who we are:</strong></p>

<p>&nbsp;</p>

<p><span style="font-weight: 400;">The Advanced Analytics team is part of the NA Network Management group that manages Wayfair’s NA supply chain and works cross-functionally across the Wayfair Operations group to tackle complex and high-visibility operational planning and long-term strategy problems. To do this, we use analytics, structured process design, and technology to frame the future supply-chain business strategy for Wayfair and to drive operational decision making. As a team, we create innovative sales and operations planning systems to maximize delivery speed and minimize cost for both Wayfair and its 8000+ suppliers.&nbsp; We also act as a central group influencing a wide array of decisions including transportation optimization, forecasting, fulfillment center and middle-mile facility footprint design, inventory optimization, and capacity planning.&nbsp;&nbsp;&nbsp;</span></p>

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

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

<p>&nbsp;</p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Use analytical and quantitative skills to work with large and complex datasets, analyze ill-defined questions, build decision-support tools, and develop recommendations to guide business decisions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Serve as the technical lead for forecasting and demand modeling projects to create state-of-the-art solutions that will enhance the efficiency of North American and European supply chain networks</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Conduct big data analysis using Python, SQL, and Hive and create scalable forecasting algorithms using time series and mathematical modeling to support capacity planning and staffing decisions at our WDN facilities and fulfillment centers, and industrial engineering decisions</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Provide analysis using quantitative modeling tools to benchmark existing forecasts/processes, new model requirements, as well as to identify opportunities for improvement</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Build predictive and other ad-hoc models as per the business requirements and build forecasts at various granularities across multiple channels and geographies</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with BI and engineering teams to enhance prototypes, build visualizations for executive level KPI reporting, and implement solutions in production environment</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Partner with various business stakeholders to identify key factors and requirements for each project, and get buy-in for project methodology</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Communicate findings with colleagues from computer science, operations research and business backgrounds</span></li>

</ul>

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

<p><strong>Who you are:</strong></p>

<p>&nbsp;</p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">MS/PhD in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">2+ years professional work experience with statistical and predictive modeling, time series analysis using ARIMA, Holt-Winters, and Bayesian models, and demand forecasting</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Willingness to do hands-on problem solving - including problem definition, prototype development, and work with Engineering to transfer solution to a scalable production environment.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong coding skills in Python to write scalable and production-ready code</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with big data analysis tools and data engineering using SQL, Hive, etc.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with distributed version-control using Git and knowledge of visualization tools (Tableau, Power BI, etc.)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Passionate about tackling complex supply-chain business problems from problem definition and business-case development to implementation</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">A natural team player who is willing to help other analysts and business stakeholders with their data and modeling needs</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Eagerness to present business cases and analysis insights to peers, stakeholders, and senior leadership</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong written, and verbal communication skills including the ability to translate sophisticated analyses into a logical, convincing business narrative</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Affinity for working with data and resourcefulness in situations where clean data and/or complete information is not available</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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