Valerie Amoroso
About Valerie Amoroso
Valerie Amoroso is a Senior Data Scientist currently working at URBN, having previously held positions as a Data Scientist and Mathematics Teacher in various educational and corporate settings. She holds multiple degrees in Data Science and Educational Technology, reflecting her diverse expertise in both teaching and data analysis.
Current Position at URBN
Valerie Amoroso serves as a Senior Data Scientist at URBN, which encompasses brands such as Urban Outfitters, Anthropologie Group, Free People, and Nuuly. She has held this position since 2021, contributing her expertise in data analysis and interpretation to support the company's strategic initiatives. Her role involves leveraging data to inform business decisions and enhance customer experiences across the various brands under URBN.
Previous Experience in Data Science
Prior to her current role, Valerie Amoroso worked as a Data Scientist at URBN from 2019 to 2021. She also gained experience as a Data Scientist at Tealium for one year in 2018, where she focused on data-driven solutions. Additionally, she completed a Data Science internship at Simpatica Medicine, Inc. in 2017, which lasted five months. This diverse background in data science has equipped her with a solid foundation in analytical methodologies.
Teaching Background
Valerie Amoroso has a significant background in education, having worked as a Mathematics Teacher at several institutions. She taught at Frederick County Public Schools from 2008 to 2013, followed by a position at 21st Century Cyber Charter School from 2013 to 2014. She also taught at Great Valley School District from 2014 to 2016. This experience in education has informed her approach to data analysis and instructional technology.
Educational Qualifications
Valerie Amoroso holds a Master of Science (M.S.) in Educational/Instructional Technology from Wilkes University, which she completed from 2009 to 2011. She also earned a Master of Science (M.S.) in Data Science from the University of San Francisco between 2016 and 2017. Additionally, she obtained a Bachelor of Science (B.S.) in Mathematics Teacher Education from Penn State University from 2004 to 2008. Her educational background supports her dual expertise in education and data science.