Chad Hutchison
About Chad Hutchison
Chad Hutchison is a Data Scientist with extensive experience in the energy sector, having worked for companies such as Chevron and Autodesk. He holds a Bachelor's degree in Chemical Engineering from The University of Texas at Austin and has a strong commitment to leveraging data science for global impact.
Work at Cognite
Chad Hutchison currently serves as a Data Scientist at Cognite, a position he has held since 2021. His role involves leveraging data science techniques to enhance operations and drive improvements within the organization. Based in Oslo, Norway, Hutchison contributes to Cognite's mission of transforming industrial data into actionable insights.
Previous Experience in the Energy Sector
Chad Hutchison has extensive experience in the energy sector, having worked at Chevron in various capacities. He served as a Site Project Manager from 2014 to 2015 in Midland, Texas, and again from 2018 to 2020 in Moon Township, Pennsylvania. Additionally, he held the position of Lead Engineer from 2015 to 2018 in the Gulf of Mexico and worked as a Field Engineer from 2013 to 2014 in Houston, Texas.
Data Science and Engineering Background
Hutchison studied Chemical Engineering at the Cockrell School of Engineering, The University of Texas at Austin, where he earned his Bachelor's degree from 2008 to 2012. He furthered his education in data science at Galvanize Inc, completing the Hack Reactor Data Science Curriculum in 2020. This combination of engineering and data science education supports his work in the energy industry.
Internship Experience
In 2012, Chad Hutchison gained practical experience as an Engineer Intern at National Oilwell Varco, where he worked for three months in the Houston, Texas area. This internship provided him with foundational skills and insights into the engineering field.
Contributions to Data Science Projects
In 2020, Hutchison worked on personal projects as a Data Scientist for four months at Galvanize. During this time, he focused on applying data science methodologies to real-world problems, contributing to his understanding of data-driven decision-making.