Jonah Keim
About Jonah Keim
Jonah Keim is the Vice President of Data Science Delivery at E Source, where he has worked since 2023. He has over 20 years of experience in data science, with previous roles at TROVE and Matrix Solutions, and has authored 15 peer-reviewed manuscripts.
Current Role and Responsibilities
Jonah Keim serves as the Vice President of Data Science Delivery at E Source, a position he has held since 2023. In this role, he employs statistical inference and prediction techniques to support evidence-driven decision making. His responsibilities include overseeing data science initiatives and ensuring the effective application of data analytics within the organization.
Previous Experience in Data Science
Prior to his current role, Jonah Keim worked at E Source as the Managing Director of Data Science from 2020 to 2023. Before that, he was a Senior Data Scientist and Lead of Asset Management at TROVE - Predictive Data Science from 2017 to 2020. His career also includes a significant tenure at Matrix Solutions, Inc., where he served as Senior Scientist and Technical Advisor from 2006 to 2017.
Educational Background
Jonah Keim studied at the University of Alberta, where he earned a Bachelor of Science (BSc) degree in Range Ecology from 1995 to 1999. He furthered his education at the same institution, completing Graduate Studies in Statistics from 2006 to 2007. This educational foundation supports his extensive career in data science.
Research and Publications
Jonah Keim has authored 15 peer-reviewed manuscripts published in prominent scientific journals. His contributions to research have been recognized through his role as a Principal Scientist on studies that received outstanding achievement and innovation awards on three occasions. This highlights his commitment to advancing knowledge in his field.
Industry Experience and Expertise
With over 20 years of experience, Jonah Keim has worked as a data scientist and technical advisor in the energy sectors of Canada and the United States. His expertise encompasses statistical analysis and predictive modeling, which he applies to inform strategic decisions in energy-related projects.