Organizing for Successful Data Science at Stitch Fix with Eric Colson

EPISODE 257

April 26, 2019

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Banner Image: Eric Colson - Podcast Interview

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About this Episode

For the final episode of our Strata Data series, we're joined by Eric Colson, Chief Algorithms Officer at Stitch Fix, whose presentation at the conference explored "How to make fewer bad decisions." Our discussion focuses in on the three key organizational principles for data science teams that he's developed at Stitch Fix. Along the way, we also talk through the various roles data science plays at the company, explore a few of the many algorithms in use at the company spanning recommendations, inventory management, demand forecasting, and clothing design. We discuss the roles of Stitch Fix'splatforms team in supporting the data science organization, and his unique perspective on how to identify platform features.

Thanks to our sponsor Cloudera

Cloudera's Hybrid Data Platform offers a single, unified platform to power data and machine learning workflows across any private, public, multi, or hybrid-cloud deployment. CDP Machine Learning helps organizations build, deploy, and scale ML and AI applications through a repeatable, industrialized approach that streamlines the process of getting analytic workloads into production and intelligently manages machine learning use cases across the business, at scale. CDP Machine Learning lets enterprise data science teams collaborate across the full data lifecycle–with immediate access to enterprise data pipelines, scalable compute resources, and their preferred tools–without compromising the agility, security, and governance needs of the business.

To learn more about what the company is up to and how they can help, visit Cloudera’s Machine Learning resource center at cloudera.com/ml!