Emily Qian
Data Scientist II
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEmily Qian is a Data Scientist II at Microsoft with a decade of experience blending causal inference and AI/ML methods to solve product and investment problems. She transitioned from product strategy at a Series A fintech, where she led roadmap, user research, and analytics to drive adoption, to building causal models (Difference-in-Differences, Double ML, Synthetic Control) and AI agents at scale. Her MIT Sloan Master of Finance and UC Berkeley economics background give her a rare combination of quantitative rigor and product intuition in capital markets. Comfortable with XGBoost and topic-modeling tools like BerTopics, she translates complex data into actionable product decisions and measurable business impact. Colleagues rely on her to bridge stakeholder needs and sophisticated modeling—she quietly pairs startup grit with enterprise-grade experimentation.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Economics, Bachelor's degree, Economics at University of California, BerkeleyMaster of Finance, Master of Finance at MIT Sloan School of ManagementProgramming languages (4)
Github contributions (5)
emilylaiken/togo-targeting-replication
Jan 2022 - Jan 2022
Contributions:21 commits, 20 pushes, 1 branch in 1 day
emilylaiken/dashboard115
Jan 2018 - Apr 2019
Contributions:20 pushes, 1 branch in 1 year 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.