Directory
>
Kevin Siegel
Kevin Siegel
Senior Vice President, Technology & Analytics | Vesta
San Francisco, California, United States
Kevin Siegel
Summary
Kevin Siegel is a seasoned Data Science Leader based in San Francisco, California, with a rich background in leveraging advanced analytics to deliver market-leading products and solutions across various industries. His expertise spans a wide array of technical skills, including machine learning, predictive modeling, and big data analytics. With a strong emphasis on agile methodologies, Kevin excels in translating complex technical challenges into viable business solutions, making him a sought-after collaborator in cross-functional teams. His leadership experience includes senior roles at renowned organizations such as Visa and Macy's, where he drove significant advancements in data science and analytics. Kevin's academic credentials include a Master's in Physics from San Jose State University and a Bachelor's in Electrical Engineering from the University of Rochester. He is also a co-founder of Ethereal Labs, showcasing his entrepreneurial spirit. Beyond his technical prowess, Kevin is recognized for his exceptional communication skills and ability to build cohesive teams, which are vital in today's fast-paced tech environment.
Kevin Siegel
Work Experience
Senior Vice President, Technology & Analytics at
Vesta
May 2022 - Present
Co-Founder at
Ethereal Labs
January 2018 - Present
Chief Data Scientist at
i2c Inc.
October 2019 - April 2022
Advisor at
Autobound
March 2019 - March 2021
Vice President, Customer Decision Science and Analytics at
Macy's
January 2015 - January 2017
Chief Scientist of Analytics, Head of Research in Action - Visa Labs at
Visa
January 2014 - January 2015
Vice President, Head of Decision Sciences and Analytics at
Visa
January 2006 - January 2013
Vice President, Advanced Modeling and Analytics at
Visa
January 2002 - January 2006
Kevin Siegel
Education
San José State University, Master Of Science (Ms)
University of Rochester, Bachelor Of Science (Bs)
Frequently Asked Questions about Kevin Siegel
What is Kevin Siegel email address?
Kevin Siegel's primary email address is ************@trustvesta.com. To view the full verified email and additional contact details, sign up for free with Muraena.
What company does Kevin Siegel work for?
Kevin Siegel is a Senior Vice President, Technology & Analytics at Vesta, a company specializing in Monetary Authorities-Central Bank.
Where Kevin Siegel graduated from?
Kevin Siegel holds a degree in Physics from San José State University.
How can I directly contact Kevin Siegel?
To contact Kevin Siegel directly, you can use the email address ************@trustvesta.com. Complete contact information is available upon registration with Muraena.
Who is Kevin Siegel?
Kevin Siegel is a seasoned Data Science Leader based in San Francisco, California, with a rich background in leveraging advanced analytics to deliver market-leading products and solutions across various industries. His expertise spans a wide array of technical skills, including machine learning, predictive modeling, and big data analytics. With a strong emphasis on agile methodologies, Kevin excels in translating complex technical challenges into viable business solutions, making him a sought-after collaborator in cross-functional teams. His leadership experience includes senior roles at renowned organizations such as Visa and Macy's, where he drove significant advancements in data science and analytics. Kevin's academic credentials include a Master's in Physics from San Jose State University and a Bachelor's in Electrical Engineering from the University of Rochester. He is also a co-founder of Ethereal Labs, showcasing his entrepreneurial spirit. Beyond his technical prowess, Kevin is recognized for his exceptional communication skills and ability to build cohesive teams, which are vital in today's fast-paced tech environment.
Kevin`s contact details
************@trustvesta.com
************@vesta.io
*****@autobound.ai
Colleagues
Senior Vice President of Engineering
Senior Vice President, Technology Operations & Information Security Officer
Chief Financial Officer
Vice President, Data Science and Analytics
Vice President of Machine Learning