Stitch Fix is an online retailer that provides personal styling as a service. Much of our competitive advantage over traditional retailers can be attributed to the strong focus we have on using data science in every corner of the business. To that end, we empower our data scientists with complete autonomy and end-to-end ownership of projects. This includes modeling the problem at hand, engineering a solution that works, and tracking the outcome to guide business decisions. In this talk, we will briefly discuss a case study of how we use optimization techniques to match individual clients to their personal stylist and how a full-stack approach to data science makes the process of algorithm and product development more efficient.
“Full Stack” Data Science at Stitch Fix
Monday, October 23, 2017 - 3:05 pm
Manager of Data Science
Hoda Eydgahi spends her days modeling at a fashion company... that is, mathematical modeling. More specifically, she is a Manager of Data Science at Stitch Fix, a data driven personal styling company in San Francisco. An entrepreneur at heart, she is an advisor to numerous startups and has experience growing teams and building product in the fields of microfinance, wearables, logistics, and genomics. She holds a BS in Biomedical Engineering from Virginia Commonwealth University and an MS and PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.