Doron Hai Reuven

Senior Data Science Researcher @ Yotpo

About Doron Hai Reuven

Doron Hai Reuven is a Senior Data Science Researcher at Yotpo, with extensive experience in data science and research roles across various companies, including PayPal and Apple. He holds a Bachelor of Science in Applied Mathematics and a Master of Science in Mathematics from Bar-Ilan University.

Work at Yotpo

Doron Hai Reuven has been employed at Yotpo since 2021, serving as a Senior Data Science Researcher. In this role, he focuses on leveraging data science techniques to enhance Yotpo's offerings. His experience in data analysis and algorithm development contributes to the company's mission of providing customer content solutions.

Previous Experience at PayPal

Before joining Yotpo, Reuven held multiple positions at PayPal. He worked as a Principal Research Scientist in the Long-Term Research team from 2020 to 2021 and in the Web Intelligence team from 2017 to 2020. Additionally, he served as Lead Research Scientist from 2014 to 2017. His roles involved developing advanced algorithms and conducting research to improve PayPal's services.

Experience at Sportvu

Reuven worked at Sportvu as an Algorithm Developer from 2012 to 2013. During his time there, he contributed to the development of algorithms that enhance sports data analysis. This experience laid the groundwork for his future roles in data science and research.

Education and Expertise

Doron Hai Reuven studied at Bar-Ilan University, where he earned a Bachelor of Science (B.Sc.) in Applied Mathematics from 2004 to 2007. He later pursued a Master of Science (M.Sc.) in Mathematics from 2011 to 2013. His educational background provides a strong foundation for his work in data science and research.

Background in Research and Development

Reuven's career includes significant experience in research and development roles. He worked as a Data Researcher in the IDF from 2008 to 2012 and as a UX Researcher at Apple for four months in 2014. These positions contributed to his expertise in data analysis and user experience research.

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