Song Z has extensive experience in data science, analytics, and marketing analysis across various industries. Starting as an Actuarial Intern at Bristol West Insurance Group and progressing to an Analyst in Advanced Quantitative Services at Deloitte Consulting, Song Z has developed a strong foundation in data mining and predictive modeling. As a former Manager of Marketing Analysis at 发现金融服务公司 and Senior Manager of Strategy and Analysis at Discover Student Loan, Song Z led teams to implement data-driven strategies for growth. At Coinbase, Song Z served as Director of Data Science Analytics, overseeing a team of over 40 data scientists and engineers. Currently, Song Z is the Head of Applied Science and Engineering at 亚马逊网, leading a team of 60 professionals to create advanced semantic representations for machine learning systems. Song Z holds multiple degrees from the University of California, Berkeley, including a Master of Arts in Economics and Mathematics, as well as a Bachelor of Arts in Finance from 南开大学.
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