Summary
Matt Parker is a data scientist with 15 years of experience who blends a software development mindset with deep statistical and UX sensibilities to turn messy data into actionable products. He has built end-to-end analytics and ML features, production reporting pipelines, and Shiny-based discovery tools at companies like Code42, Gusto, and now Indeed’s Hiring Lab. Skilled in rapid prototyping, dbt, Quarto, and automation, he’s driven initiatives to improve data quality and self-service for non-technical stakeholders while mentoring cross-functional teams. His background in social science informs how he designs visualizations and experiments so people interpret results correctly and make better decisions. Pragmatic and curious, he’s a frequent advisor on instrumentation and data UX and has contributed to patents around data security features. Based in Denver, he combines research-grade rigor with product-focused delivery across analytics, streaming, and survey methodologies.
15 years of coding experience
10 years of employment as a software developer
BS Political Science, BS Political Science at Iowa State University
Spanish, English