Jonathan Burns
About Jonathan Burns
Jonathan Burns is a Principal Statistician at MAXIMUS with extensive experience in statistics and mathematics.
Company
Jonathan Burns is currently working at MAXIMUS as a Principal Statistician. He took on this role following the sale of General Dynamics Information Technology's (GDIT) contact center contracts to MAXIMUS. His role involves leveraging statistical techniques to contribute to data-driven decision-making processes.
Title
Jonathan Burns holds the title of Principal Statistician. His career has covered various significant roles within the field of statistics, demonstrating extensive experience and expertise in the industry.
Education and Expertise
Jonathan Burns has an extensive educational background. He studied at Johns Hopkins Engineering for Professionals, earning a Post-Master's Certificate in Applied and Computational Mathematics from 2013 to 2016. He earned an MS in Mathematics from the University of Toronto in 2000. Additionally, Burns completed his BScH in Chemistry and Mathematics at Queen's University from 1991 to 1995. He also has studied at Ner Israel and Machon Shlomo.
Professional Background
Before joining MAXIMUS, Jonathan Burns worked at General Dynamics Health Solutions as a Principal Statistician from 2016 to 2018 and as a Senior Statistician from 2012 to 2016, both in the Baltimore, Maryland area. Prior to this, he served as the Chief Mathematician at Referral Technology from 2006 to 2012 and as an Analyst at Scotia Capital in 2004 for two months. His career path highlights his progression through increasingly responsible roles in the field of statistics and data analysis.
Leadership Roles
Jonathan Burns led the Statistics, Data Science, and Innovation Group within CCO Analytics from April 2019 until a reorganization in October 2020. Following the reorganization, he reported directly to the Vice President of Customer Experience. This demonstrates his leadership capabilities and his contributions to statistical and data science innovation within organizational structures.