Jarred Bultema, PhD
About Jarred Bultema, PhD
Jarred Bultema, PhD, is a Senior Data Scientist and Tech Lead in Forecasting at Shelf Engine, with a strong background in biochemistry and data science. He has developed innovative forecasting models and has held various roles in academia and industry, mentoring junior colleagues along the way.
Current Role at Shelf Engine
Jarred Bultema serves as a Senior Data Scientist and Tech Lead for Forecasting at Shelf Engine. He has been in this position since 2022, where he focuses on designing and building forecasting models for a production system that generates hundreds of thousands of daily forecasts. His role involves combining expertise in various scientific fields with modern data science techniques to enhance forecasting capabilities.
Previous Experience in Data Science
Prior to his current role, Jarred Bultema held several positions in data science. He worked at JiffyShirts.com as a Senior Data Scientist - Forecasting for eight months in 2021 to 2022. He also served at DataRobot in multiple capacities, including Customer Facing Data Scientist - Enablement Lead and Data Scientist - Time Series, GTM Lead. His experience spans various aspects of data science, including mentoring junior colleagues.
Educational Background and Expertise
Jarred Bultema earned a Bachelor of Science in Biochemistry from Calvin College, where he studied from 2003 to 2007. He later obtained a Doctor of Philosophy (PhD) in Biochemistry and Molecular Biology from Colorado State University, completing his studies from 2008 to 2013. Additionally, he studied at Karolinska Institutet, achieving a Post-doctoral Fellowship in Translational Immunology from 2013 to 2014. His educational background supports his expertise in various scientific disciplines.
Research and Academic Contributions
Jarred Bultema has contributed to academia as an Assistant Professor of Biochemistry at the University of Colorado Colorado Springs from 2014 to 2017. He also worked as a Research Fellow in Translational Immunology at Karolinska Institutet from 2013 to 2017. His research experience complements his data science skills, particularly in applying scientific knowledge to real-world problems.
Technological Proficiencies
In his data science projects, Jarred Bultema utilizes a variety of modern technologies. His skill set includes programming languages and tools such as Python, AWS, Docker, Spark, and Tensorflow. These technologies enable him to develop advanced forecasting models and leverage data insights effectively.