Derek Jones
About Derek Jones
Derek Jones is a Data Manager at Toyota Racing Development USA, having transitioned from a Senior Data Scientist role. He possesses extensive experience in data science and analytics, with a strong educational background in management, economics, and predictive analytics.
Work at Toyota Racing Development USA
Derek Jones currently serves as the Data Manager at Toyota Racing Development USA, a position he has held since 2021. In this role, he has transitioned from a Senior Data Scientist, reflecting a growth in leadership responsibilities. His work involves the development of custom applications that provide actionable insights through advanced statistical analysis. Additionally, he has implemented machine learning models on the AWS platform to enhance data-driven decision-making within the organization.
Previous Experience in Data Science
Before joining Toyota Racing Development USA, Derek Jones worked as a Senior Data Scientist at Live Nation Entertainment from 2015 to 2020. He also held a Senior Data Scientist position at Toyota Racing Development USA for 11 months prior to his current role. Earlier in his career, he served as a Quality Analyst at Universal Studios for one year, from 2010 to 2011. His diverse experience in data science has contributed to his expertise in integrating analytics into core data platforms.
Education and Expertise
Derek Jones has a strong educational background in management and analytics. He earned a Master of Science in Predictive Analytics from Northwestern University, studying from 2013 to 2015. He also holds a Bachelor of Science in Management and Economics from California State University, Northridge, where he studied from 2008 to 2010. Additionally, he obtained a Bachelor of Business Administration, with previous studies in Computer Science and Mathematics. His education supports his expertise in data science and analytics within the automotive racing industry.
Background in Mathematics and Computer Science
Derek Jones has a foundational background in Mathematics and Computer Science, having studied at the University of California, Santa Cruz. This academic experience complements his later studies in management and predictive analytics. His comprehensive understanding of these fields has been instrumental in his career, particularly in developing machine learning models and advanced statistical analyses that drive decision-making processes.