Over the last couple of years, Stitch Fix has amassed one of the more impressive data science teams around. The team has grown to 65 people, collaborates with all areas of the business, and has a well-respected data science blog plus several open source contributions.
As a member of this team since late 2014, and someone who has spent 15 years in the analytics space prior to that, I’ve often reflected on how the data science team at Stitch Fix got to this point. Is it attributable to our business model? Or, is Stitch Fix doing something differently when it comes to growing and managing its data science team?
The short answer is that the business model does provide a fertile environment for data science. However, it goes deeper than that: the approach to managing and building data science teams at Stitch Fix is unique in many ways. In fact, it has debunked many of the beliefs I held about management and growth prior to joining the team.