Thomas Oliver Conway
About Thomas Oliver Conway
Thomas Oliver Conway is a Senior Data Scientist with a strong research background in theoretical mathematics. He has worked at Handshake and Conde Nast, focusing on content recommendation problems and data product development.
Work at Handshake
Thomas Oliver Conway has been employed at Handshake as a Senior Data Scientist since 2022. In this role, he focuses on content recommendation problems, utilizing his expertise in data science to enhance user experience. His work involves applying analytical techniques and programming skills to develop data-driven solutions that align with product goals.
Previous Experience at Condé Nast
Before joining Handshake, Thomas Conway served as the Lead Data Scientist at Condé Nast from 2018 to 2022. During his tenure, he worked on various data science projects, particularly in content recommendation systems. His role required a combination of analytical skills and product understanding to drive data initiatives within the organization.
Education and Expertise
Thomas Conway holds a Doctor of Philosophy (PhD) in Mathematics from New York University, where he studied from 2010 to 2017. He also earned a Bachelor of Arts (BA) in Mathematics from Princeton University, completing his studies from 2006 to 2010. His educational background in theoretical math provides a strong foundation for his work in data science.
Analytical and Programming Skills
Thomas Conway combines his analytical background in mathematics with programming skills and people skills to create effective data products. His ability to understand both the technical and product aspects of data science enables him to develop solutions that meet user needs and enhance product functionality.