About Me

I am a professor in the Program in Statistical & Data Sciences Program at Smith College. I completed my Ph.D. in Mathematics at the Graduate Center of the City University of New York in 2012. Since 2014, I am an Accredited Professional Statistician™ by the American Statistical Association.

Previously, I was the Statistical Analyst for the Baseball Operations department of the New York Mets, a position I held from 2004 to 2012.

You can reach me at bbaumer@smith.edu.

Long conference bio

Benjamin S. Baumer is a professor in the Statistical & Data Sciences program at Smith College. He has been a practicing data scientist since 2004, when he became the first full-time statistical analyst for the New York Mets. Ben is a co-author of The Sabermetric Revolution, Modern Data Science with R, and the second and third editions of Analyzing Baseball Data with R. He received his Ph.D. in Mathematics from the City University of New York in 2012, and is accredited as a professional statistician by the American Statistical Association. His research interests include sports analytics, data science, statistics and data science education, statistical computing, and network science.

Ben won the Waller Education Award from the ASA Section on Statistics and Data Science Education, and the Significant Contributor Award from the ASA Section on Statistics in Sports in 2019. He shared the 2016 Contemporary Baseball Analysis Award from the Society for American Baseball Research. Recently, Ben was the primary investigator on a three-year, nine-institution, $1.2 million award from the National Science Foundation for workforce development under the Data Science Corps program.

Short conference bio

Benjamin S. Baumer is a professor in the Statistical & Data Sciences program at Smith College. Ben is a co-author of The Sabermetric Revolution, Modern Data Science with R, and the second and third editions of Analyzing Baseball Data with R. Ben has received the Waller Education Award from the ASA Section on Statistics and Data Science Education, the Significant Contributor Award from the ASA Section on Statistics in Sports, and the Contemporary Baseball Analysis Award from the Society for American Baseball Research. His research interests include sports analytics, data science, statistics and data science education, statistical computing, and network science.