Steven Song
Data Science Associate
Waterloo, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolSteven Song is a Data Science Associate and Master's student in Data Science & AI at the University of Waterloo with 12 years of professional experience bridging applied mathematics, statistics, and practical data solutions. He has held data-focused roles across public research (Defence Research and Development Canada), healthcare/pharma (Roche), and analytics-driven startups, developing proficiency in Python, R, SAS, and MATLAB along with strong quantitative foundations. Steven combines teaching experience from McMaster University with hands-on pricing and sourcing analytics from the private sector, showing an unusual blend of academic rigor and commercial impact. Currently focused on machine learning and statistical modeling, he seeks opportunities that translate mathematical insight into production-ready, decision-driving systems.
12 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics and Statistics Math Sub-plan Co-op, Level 5, Bachelor of Science - BS, Mathematics and Statistics Math Sub-plan Co-op, Level 5 at McMaster UniversityMaster's degree, Data Science and Artificial Intelligence(Co-op), Master's degree, Data Science and Artificial Intelligence(Co-op) at University of WaterlooProgramming languages (1)
Github contributions (5)
StevenSongHC/KickClub
Sep 2014 - Mar 2015
Contributions:16 commits, 5 pushes in 6 months
StevenSongHC/XinYiRead
Feb 2015 - Mar 2016
Contributions:71 commits, 70 pushes, 1 branch in 1 year
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