As data science has become increasingly popular, many organizations rush to hire ML experts without laying the proper foundation to ensure their success, including creating proper database architecture, building out essential data science technology, establishing data governance, and instilling data-driven decision-making throughout the organization. Absent these elements, many ML experts join companies excited to deploy their data science expertise only to end up marred in data cleaning or lobbying for tech resources. In this presentation, I discuss how organizations can prepare their organization for success, as well as how candidates can diagnose whether the organization is truly ready for ML.
Dr. Gershkoff is Chief Data Officer for Ancestry, which specializes in genealogy and consumer genomics. Previously, she was Chief Data Officer at Zynga. During her career, she has led the Customer Analytics & Insights team at eBay, served as Chief Data Scientist at WPP, and was Head of Media Planning at Obama for America, where she designed the campaign’s advertising and analytics strategy. Gershkoff was named one of America’s “40 Under 40” leading entrepreneurs, one of the Top 50 Women to Watch in Tech, and one of San Francisco's Most Influential Women in Business. She holds a Ph.D. from Princeton University.