Parker Lowrey
About Parker Lowrey
Parker Lowrey serves as the Sr. Principal Data Scientist and Tech Lead for Data at Riot Games, where he has worked since 2022. He has a diverse background in data science and analytics, with previous roles at Activision, Whip Media, and The University of Texas at Austin.
Work at Riot Games
Parker Lowrey serves as the Sr. Principal Data Scientist and Tech Lead for Data at Riot Games, a position he has held since 2022. In this role, he is responsible for the implementation and operation of all machine learning and AI services, overseeing both online and batch processes. He manages data warehousing and analytics capabilities aimed at enhancing player experience. Additionally, he leads a team of over 120 engineers and data scientists, focusing on the technical and machine learning strategy to drive data-driven decisions within the organization.
Education and Expertise
Parker Lowrey holds a Bachelor of Science (BS) in Biochemistry from Tulane University, where he studied from 1997 to 2000. He furthered his education at The University of Texas at Austin, earning a Doctor of Philosophy (Ph.D.) in Mathematics from 2003 to 2010. His academic background provides a strong foundation for his expertise in data science and analytics, which he applies in his current role at Riot Games.
Background
Before joining Riot Games, Parker Lowrey accumulated extensive experience in various roles across different organizations. He worked at Activision as a Senior Data Scientist and later as a Lead Data Scientist from 2014 to 2016. He also held multiple positions at Whip Media, including VP of Technology and Analytics, SVP of Data, and VP of Data from 2018 to 2022. His early career included roles at ViaGen as a Data Scientist and IT Manager, and he served as a Graduate Research Assistant and Teaching Assistant at The University of Texas at Austin.
Achievements
Parker Lowrey has contributed to significant advancements in data science and analytics throughout his career. At Riot Games, he is dedicated to expanding the company's capabilities to improve player experience through data. His leadership in machine learning and AI services has positioned Riot Games to leverage data effectively in enhancing gameplay and user engagement. His involvement in various organizations reflects a commitment to the field of data science.