Warren Scott

Warren Scott

Senior Research Science Manager @ Convoy

About Warren Scott

Warren Scott is a Senior Research Science Manager at Convoy Inc, with a strong background in data science and operations research. He has held various positions in notable companies such as AirAsia, PROS, and Grab, and holds a PhD from Princeton University.

Current Role at Convoy

Warren Scott serves as the Senior Research Science Manager at Convoy Inc, a position he has held since 2021. In this role, he focuses on advancing research methodologies and data-driven strategies to enhance operational efficiency. His contributions are essential in driving the company's mission to optimize freight logistics through innovative technology.

Previous Experience in Data Science

Prior to his current role, Warren Scott held several significant positions in the field of data science. He worked as a Senior Manager of Data Science at AirAsia from 2019 to 2020, where he led data initiatives for AirAsia.com. Before that, he was a Data Science Manager at Grab for a brief period in 2019. His experience also includes a role as a Forecast Data Scientist at PROS from 2017 to 2018, where he applied statistical methods to improve forecasting accuracy.

Educational Background

Warren Scott completed his Doctor of Philosophy (PhD) in Operations Research and Financial Engineering at Princeton University from 2007 to 2012. His academic journey also includes a Bachelor of Science in Electrical Engineering and a Bachelor of Arts in Economics from Rice University, where he studied from 2003 to 2007. This strong educational foundation supports his expertise in data science and research methodologies.

Career Timeline

Warren Scott's career spans various roles in data science and research management. He began his professional journey at Rice University, followed by his studies at Princeton. His early career included a year at PROS as a Forecast Data Scientist, followed by positions at Grab and AirAsia. He transitioned to Convoy Inc in 2021, where he continues to leverage his extensive experience in data science.

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