Building a data science practice in any environment is difficult. Integrating data science into a long-standing company with established processes, complex business operations, and global scale creates additional layers of complexity that need to be navigated. Chris Bush explains how Levi’s is tackling this challenge and shares the company’s continuing evolution to leverage data science by:
Chris is introduced by Dataiku’s Jed Dougherty, who explains how he helps large companies spin up and organize data science teams and build successful projects in data security, real-time recommendation, predictive maintenance, and other hot topics.
This session is sponsored by Dataiku.
Chris Bush is the head of digital analytics and data science at Levi Strauss & Co., where he established and continues to grow the analytics and data science practice. His responsibilities include increasing the data centricity, providing analytical insights, and powering personalization and optimization efforts. Previously, Chris founded the product analytics team at Walmart Labs, where he was responsible for providing product analytics and overseeing the implementation of clickstream analytics on Walmart-owned websites and apps and drove hypothesis-led inquiries to investigate business critical issues and prioritize opportunities. In a prior career, he practiced law at Latham & Watkins LLP, where he developed bespoke equity derivatives, quantitative structured products, and novel equity products.
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