Wayfair Data Science powers automation & decision support across all Wayfair business units. Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace. From empowering suppliers to easily add products to our catalog to enabling our customers to discover and purchase a vast and diverse assortment of home goods, providing them the necessary sales and service support along their journey
The forecasting science team consists of data scientists, machine learning engineers, and economists who are responsible for owning and managing large-scale forecasting systems to enable demand planning and supply maximization. We develop econometric, statistical, machine learning, and hybrid forecasting models to drive operational excellence throughout our supply chain.
We’re looking for an Associate Director with a background in time series and ML forecasting to lead the Forecasting Science team at Wayfair. This leader will own the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups that govern the production of demand forecasts at various granularities and integration with downstream supply planning systems. The primary focus will be on developing algorithmic systems for:
This is an ideal opportunity for a leader who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact on customers' end-to-end experience through advanced data science and machine learning techniques.
What You’ll Do
What You’ll Need
Wayfair Inc. is an American e-commerce company that sells furniture and home-goods. Formerly known as CSN Stores, the company was founded in 2002. Their digital platform offers 14 million items from more than 11,000 global suppliers. The online company is headquartered in Boston, Massachusetts, Wayfair has offices and warehouses throughout the United States as well as in Canada, Germany, Ireland, and the United Kingdom.