Summary
Karen Lie is a data engineer with a decade of experience turning analytics and machine learning needs into reliable data products across high-growth tech companies. She has progressed from internships in analytics and quantitative development to roles as a data scientist at Shopify, an analytics engineer at Faire, and now builds data infrastructure at Clio, demonstrating strength in both modeling and production engineering. Comfortable bridging research and engineering, she focuses on scalable pipelines and enabling self-serve analytics for product and business teams. Based in Toronto and grounded in a Statistics degree from Waterloo, she combines rigorous quantitative training with practical experience shipping data systems in e-commerce, SaaS, and marketplace contexts. An understated but valuable trait is her consistent trajectory from hands-on intern to senior practitioner, signaling strong capability in learning complex domains quickly.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Mathematics Statistics, Bachelor of Mathematics Statistics at University of Waterloo
English, Indonesian, Chinese