The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a tenure track position at the rank of Assistant Professor starting in Fall 2027. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to statistical theory, large language models, social sciences, causality, physical sciences, statistical computing, sports analytics, and computational finance. Excellent candidates with other research interests will also be considered and are strongly encouraged to apply. 

Applications received by December 1st, 2026 are guaranteed to receive full consideration. 

Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the department are engaged in a wide range of theoretical, methodological and collaborative research. Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, astronomy and particle physics, networks, public health, environmental science, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning.  

Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts a very friendly and energetic working environment, and is dedicated to fostering, mentoring and supporting its junior faculty. 

The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with large numbers of majors and popular joint programs in statistics and machine learning and statistics and economics. We also have two sought-after Master’s programs (Applied Data Science, Computational Finance) and a thriving Ph.D. program that attract exceptional students from around the world.