Arvin Hsu
About Arvin Hsu
Arvin Hsu serves as the Vice President of Data Science and Engineering at Dollar Shave Club, focusing on the application of AI and machine learning in business. He has held various leadership roles in data science and education, with a strong academic background in cognitive science and machine learning.
Current Role at Dollar Shave Club
Arvin Hsu serves as the Vice President of Data Science and Engineering at Dollar Shave Club. He has held this position since 2018, contributing to the company's data-driven strategies and initiatives. His focus includes the productionalization of artificial intelligence, machine learning, and data science within business environments to enhance operational effectiveness.
Previous Experience at GoodData
Prior to his current role, Hsu worked at GoodData as the Senior Director of Data Science from 2016 to 2018. During his two-year tenure in the San Francisco Bay Area, he led data science initiatives and contributed to the development of data-driven solutions that supported business intelligence.
Educational Background
Hsu has an extensive educational background in various fields. He studied at Stanford, where he focused on Machine Learning from 2013 to 2014. He also holds a Bachelor's degree from the University of California, Berkeley, and a Master's degree in Cognitive Science and Mathematical Modeling from UC Irvine. His academic pursuits have equipped him with a strong foundation in data science and artificial intelligence.
Leadership and Teaching Roles
Hsu has held several leadership and teaching positions throughout his career. He served as Club President at CEO Space International from 2011 to 2012 and worked as a Graduate Teaching Assistant at UC Irvine for eight years. His experience in education and leadership has contributed to his ability to mentor and guide teams in data science and engineering.
Expertise in Machine Learning
Hsu has been leading machine learning product development and implementations since 2009. He established a high-performing machine learning products team by architecting and building a customized ML platform. His expertise lies in operationalizing machine learning for maximum impact in business settings.