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Activity Number: 95 - Introductory Overview Lecture: Leading Data Science: Talent, Strategy, and Impact
Type: Invited
Date/Time: Monday, July 30, 2018 : 8:30 AM to 10:20 AM
Sponsor: JSM Partner Societies
Abstract #330993
Title: End-to-End Data Science Project Cycle, Pitfalls, and Soft Skill Gaps: An Essential Overview for Statisticians
Author(s): Ming Li*
Companies: Amazon

Statistician are great candidates for data scientist with solid knowledge in modeling and extensive experience in data. However, to become a successful data scientist, statistician needs to get familiar with the agile-style project flow and eventually lead the end-to-end project cycle working seamlessly with business stakeholders, data engineers, software developers, and project managers. There are many ways a data science project could fail, a successful data scientist will identify and avoid these pitfalls early. In this talk, I will introduce data science project cycle, pitfalls and soft skills to bridge the gap between statistician and successful data scientist.

Authors who are presenting talks have a * after their name.

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