Successful candidates will be expected to develop an independent research program in statistical science with strong connections to sports analytics, teach undergraduate and graduate courses in statistics and sports analytics, develop an external funding portfolio, build interdisciplinary connections with researchers and partners in sports and related data-intensive fields, and participate in department, college, and broader university activities. Areas of interest include, but are not limited to, statistical learning and machine learning, Bayesian methods, causal inference, functional data analysis, longitudinal and spatiotemporal data analysis, high-dimensional data, statistical computing, and other modern methods for complex sports data.