Summary
Xiao J is a Principal Data Scientist with nine years of experience building measurement, experimentation, and engagement solutions for consumer products at companies like Amazon, Twitch, and Atlassian. He has led analytics and science functions for Kindle and Books rewards programs, shipping gamification and loyalty features while designing metrics, attribution, and causal inference frameworks. At Atlassian he now leads engagement data science for Confluence, translating product strategy into roadmap planning, OKRs, and rigorous experimentation. Trained in math, statistics, and data science (Purdue; William & Mary), he blends quantitative rigor with product instincts to prioritize high-impact work and mentor teams. An iterative thinker and endurance athlete, he applies discipline from marathon running and the reset-and-adjust habits of tennis to fast-learning, resilience, and calm decision-making under uncertainty. Outside work he mentors through ADPList and favors steady, step-by-step progress that surfaces durable judgment rather than short-term wins.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Purdue University
Master of Science (M.S.), Data Science & Analytics, Master of Science (M.S.), Data Science & Analytics at William & Mary
English, Chinese