Marc Maier
About Marc Maier
Marc Maier is the Head of Data Science, Risk & Product at MassMutual Financial Group and a Consultant at Crosscut Media. He holds a Ph.D. in Computer Science from the University of Massachusetts Amherst and has extensive experience in data science and research.
Current Role at MassMutual Financial Group
Marc Maier is the Head of Data Science, Risk & Product at MassMutual Financial Group. He has been with the company since September 2014. In this role, he oversees the data science initiatives, risk assessment strategies, and product development, ensuring that the company leverages data-driven insights to optimize performance and mitigate risks.
Consultancy at Crosscut Media
Marc Maier holds a consultancy position at Crosscut Media. While specifics of his consultancy role are not provided, his background in data science and extensive research experience suggest he plays a vital role in guiding data-centric projects and strategic initiatives for the company.
Previous Experience at Edgeflip and Institute for Defense Analyses
Marc Maier worked as a Data Scientist at Edgeflip in 2014 for 2 months. Prior to this, he served as an Adjunct Research Staff Member at the Institute for Defense Analyses from 2010 to 2011. In these roles, he gained valuable experience in data science and research, contributing to his expertise in analytical problem-solving and strategic risk management.
Research Assistant at University of Massachusetts Amherst
From 2006 to 2014, Marc Maier was a Research Assistant at the University of Massachusetts Amherst. During these 8 years, he engaged in various research projects, likely involving in-depth analysis and development in computer science. This experience laid a strong foundation for his career in data science and research.
Academic Background in Computer Science and Mathematics
Marc Maier holds multiple degrees from the University of Massachusetts Amherst. He earned a Doctor of Philosophy (Ph.D.) in Computer Science between 2008 and 2014, a Master of Science (MS) in Computer Science from 2005 to 2008, and dual Bachelor of Science (BS) degrees in Computer Science and Mathematics from 2001 to 2005. This comprehensive educational background has equipped him with a robust understanding of both theoretical and practical aspects of computing and quantitative analysis.