Edy Stein

Data Scientist @ Placer.ai

About Edy Stein

Edy Stein is a data scientist with extensive experience in algorithm engineering and team leadership across various industries. He has worked for notable companies such as IBM, JPMorgan Chase & Co., and Placer.ai, and holds advanced degrees in neuroscience and electrical engineering.

Current Role at Placer.ai

Edy Stein serves as a Data Scientist at Placer.ai, a position he has held since 2022. In this role, he applies his expertise in statistical and machine learning methods to analyze data and derive insights. His work contributes to the company's mission of providing location analytics and insights to various industries.

Previous Experience in Data Science

Edy Stein has a diverse background in data science, having worked at several notable organizations. He was a Data Scientist at JPMorgan Chase & Co. for eight months in 2021, and he led a data science team at IBM from 2018 to 2021. His experience includes a focus on behavioral analysis and fraud detection during his tenure at Trusteer (IBM Security) from 2016 to 2017.

Educational Background

Edy Stein holds a Doctor of Philosophy (PhD) in Neuroscience from Bar Ilan University, where he studied from 2009 to 2014. He also earned a Master of Science (MSc) in Electrical, Electronics, and Communications Engineering from Tel Aviv University, completing his studies from 2001 to 2005. Additionally, he obtained a Bachelor of Science (BSc) in the same field from Technion-Machon Technologi Le' Israel, graduating in 1997.

Technical Skills and Expertise

Edy Stein possesses a strong foundation in system engineering, machine learning, and programming with Python. He has expertise in applying statistical methods to solve complex challenges across various domains. His experience spans algorithm engineering and data science, making him proficient in both theoretical and practical aspects of data analysis.

Career Timeline and Roles

Edy Stein's career includes significant roles at various companies. He worked at BigBand Networks as a Team Leader and Algorithm Engineer from 2006 to 2011, followed by a position at ARRIS as an Algorithm Engineer from 2011 to 2014. He also served as a Cyber Security Analyst at Trusteer in 2015 and as a Security Researcher & Data Scientist at IBM in 2018. His diverse roles reflect a continuous evolution in the fields of data science and engineering.

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