Summary
Sue Marquez is a Staff Data Scientist at LinkedIn with eight years of experience applying causal inference and Bayesian statistics to turn large-scale data into strategic decisions for Premium products. She progressed from senior roles at LinkedIn after leading data science initiatives at The Rockefeller Foundation, blending commercial impact with socially driven projects. Her background as a statistician includes applied work across media, healthcare research, and nonprofit sectors, demonstrating a knack for translating rigorous methods into actionable business and policy insights. Based in New York, she pairs formal training from the University of Melbourne with international studies in economics and relations, reflecting a global, interdisciplinary perspective. Notably, Sue brings both academic rigor and product-minded execution—designing analyses that inform platform strategy and measurable user outcomes.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA International Relations, Bachelor of Arts - BA International Relations at La Trobe University
The University of Melbourne
Bachelor of Arts - BA International Economics, Bachelor of Arts - BA International Economics at Universidad de Guadalajara
Spanish, English