The Apparel and Footwear market segment is substantial, reaching more than $300B in the US alone. The Amazon Fashion Technology team’s charter is to transform all aspects of the fashion experience using catalog and visual features to help ensure a compelling experience for customers shopping for clothing, shoes, and accessories online, worldwide. The Softlines Discovery team within this organization is creating new, visually-focused browsing experiences across Softlines Browse, Search, and Detail Pages to better inspire customers who are shopping for clothes but do not have a specific item in mind. This team includes a team of applied scientists and engineers that use Machine Learning, Computer Vision, and Natural Language Processing to detect trends and fashion attributes to improve the quality of Amazon’s US catalog and to power collections that make it easy and fun to narrow exciting new looks to the specific products that have all the attributes you’re looking for. We are looking for
- BA/BS in Computer Science, Engineering, Mathematics or related field - Demonstrated strength in SQL, data modeling, ETL development, and data warehousing. - 5+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational/business planning or advanced degree - Advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools.- Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required. - Be self-driven, and show ability to deliver on ambiguous