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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

95 Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West Ballroom A
Introductory Overview Lecture: Leading Data Science: Talent, Strategy, and Impact — Invited Special Presentation
JSM Partner Societies, Caucus for Women in Statistics
Organizer(s): Ming Li, Amazon
Chair(s): Martha Gardner, GE
During the past decade, vast amount of data has become available and readily accessible. To analyze these huge amount of data, big data infrastructure, algorithms, and methodologies have been developed and matured, which powers effective data science projects in tech companies and traditional industrial sectors. In this lecture, data science leaders will demystify real-world data science applications at scale and illustrate how to become an excellent data scientist, how to build a high-impact data science team, how to design data science curriculum and how to lead with statistics.
8:35 AM No Country for (Unadventurous) Statisticians: Building High-Impact Data Science Teams

George Roumeliotis, Airbnb
9:05 AM End-to-End Data Science Project Cycle, Pitfalls, and Soft Skill Gaps: An Essential Overview for Statisticians
Ming Li, Amazon
9:35 AM What Hard Skills and Computational Tools Are Needed? Growing and Learning as a Data Scientist

Dennis Sun, Google
10:05 AM Floor Discussion