Jennifer Flynn
About Jennifer Flynn
Jennifer Flynn is a Principal Data Scientist II with extensive experience in data science and engineering, currently working at Rev since 2019. She has held various roles in notable companies and has a strong academic background with degrees from UC San Diego and Worcester Polytechnic Institute.
Current Position at Rev
Jennifer Flynn serves as Principal Data Scientist II at Rev, a role she has held since 2019. In this position, she focuses on data science initiatives that enhance the company's operational efficiencies. Flynn has implemented automation and experimentation templates that have notably reduced the training and release cycle from 21 weeks to just 4 weeks. Her work contributes to improving the overall data processing capabilities within the organization.
Previous Experience at Arrivo
Prior to her current role, Jennifer Flynn worked at Arrivo as Principal Data Science Advisor from 2021 to 2024. In this remote position, she provided expert guidance on data science strategies and contributed to various projects aimed at advancing the company's data capabilities. Her experience at Arrivo further solidified her expertise in data-driven decision-making.
Education and Expertise in Data Science
Jennifer Flynn holds a Master of Advanced Study in Data Science and Engineering from UC San Diego, where she studied from 2014 to 2016. She also earned a Bachelor of Science in Computer Science from Worcester Polytechnic Institute, completing her degree from 2000 to 2004. Flynn specializes in deploying natural language processing (NLP) models, including BERT and DistilBERT, to improve topic classification accuracy.
Career Background in Data Science and Engineering
Jennifer Flynn's career spans various roles in data science and engineering. She served as Principal Data Scientist at Circadence from 2017 to 2019 and worked as a Machine Learning Engineer at Pluralsight from 2016 to 2017. Earlier in her career, she was a Software Engineer III at Neustar, Inc. from 2010 to 2016 and a Web Developer at Worcester Polytechnic Institute from 2009 to 2010. This diverse background has equipped her with a comprehensive skill set in data analysis and software development.
Achievements in Data Quality and Automation
Throughout her career, Jennifer Flynn has made significant contributions to data quality and automation processes. She developed a method to identify and flag data quality issues that affected up to 20% of data sources. Her efforts in implementing automation have streamlined workflows, demonstrating her commitment to enhancing data integrity and operational efficiency.