Jordan Navin
About Jordan Navin
Jordan Navin is a Senior Data Scientist at Transfix in New York, New York, with a diverse background in data science and economics. He has held various roles in organizations such as Balto and the USDA APHIS, and he holds a Ph.D. in Economics from Colorado State University.
Work at Transfix
Jordan Navin currently serves as a Senior Data Scientist at Transfix, a position he has held since 2023. He previously worked at Transfix as a Data Scientist II from 2022 to 2023. His roles at Transfix are based in New York, New York, where he focuses on data analysis and modeling to enhance operational efficiency.
Education and Expertise
Jordan Navin has an extensive academic background in Economics. He earned a Doctor of Philosophy (Ph.D.) in Economics from Colorado State University, completing his studies from 2016 to 2019. Prior to that, he obtained a Master of Arts (M.A.) in Economics from the same institution, studying from 2014 to 2016. He also holds a Master of Arts (M.A.) in Economics from Bowling Green State University, achieved from 2013 to 2014, and a Bachelor of Science (B.S.) in Economics from Bowling Green State University, completed from 2009 to 2012.
Professional Background
Jordan Navin has a diverse professional background in data science and economics. He worked at Balto as a Data Scientist from 2020 to 2021 and later as a Senior Data Scientist from 2021 to 2022. His experience also includes a role as an Economist at the USDA Animal and Plant Health Inspection Service (APHIS) from 2016 to 2020. Additionally, he has held positions at Mountain Data Group, Colaberry, and has served as an instructor and teaching assistant at Colorado State University and Bowling Green State University.
Teaching Experience
Jordan Navin has experience in academia, having served as an Adjunct Faculty member at Lewis and Clark Community College in 2015. He also worked as an Instructor at Colorado State University in 2017 and as a Graduate Teaching Assistant from 2014 to 2017. His teaching roles involved guiding students in economics and data science, contributing to their academic development.