Bradley Nott

Data Scientist @ Joby Aviation

About Bradley Nott

Bradley Nott is a Data Scientist with a background in military operations and aviation. He has extensive experience in data analytics, environmental modeling, and machine learning, supported by advanced degrees in information and data science.

Current Role at Joby Aviation

Bradley Nott currently serves as a Data Scientist at Joby Aviation, a position he has held since 2021. In this role, he focuses on deriving actionable insights from sensor data, applying his expertise in machine learning and predictive modeling. His work involves identifying meaningful signals in complex datasets, which is essential for the development of advanced aviation technologies.

Previous Experience in the US Navy

Bradley Nott has a diverse background in the US Navy, where he held several positions. He served as a Student Pilot from 2007 to 2009 and later as a Communications Officer and Assistant Safety Officer in 2010. He also worked as Detachment Operations Officer and Assistant Training and Readiness Officer at Helicopter Maritime Strike Squadron Seven Five from 2011 to 2013. His military experience provided him with skills in operations, training, and safety management.

Education and Expertise

Bradley Nott holds a Bachelor of Arts in History from UCLA, obtained from 2002 to 2006. He furthered his education by earning a Master of Science in Physical Oceanography from the Naval Postgraduate School between 2013 and 2015. He also completed a Master of Information and Data Science at UC Berkeley from 2018 to 2020. His academic background supports his current focus on data science and analytics.

Skills in Data Science

Bradley Nott has developed a strong skill set in data science, particularly in machine learning and predictive modeling. His approach to problem-solving involves breaking down complex issues into manageable subproblems, a technique refined during his time as an aviator and tactician. He has experience in creating data collection plans that incorporate environmental modeling for optimal sensor placement.

Internship Experience at Joby Aviation

Before his current role, Bradley Nott interned in Data Analytics at Joby Aviation from 2020 to 2021. During this four-month internship, he gained practical experience in data analysis, which laid the foundation for his subsequent position as a Data Scientist. This experience contributed to his understanding of the aviation industry's data needs.

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