The Department of Mathematics and Statistics at the University of New Mexico invites applications for a full-time, tenure-track Assistant Professor position in Data Science, with a start date of August 2026. Applicants must have a Ph.D. in Mathematics, Statistics, Computer Science, or a closely related field by the appointment start date. The successful candidate will develop a strong independent research program in one or more areas central to modern Data Science, such as: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, or Computational Statistics, with opportunities for cross-disciplinary collaboration across UNM and with national laboratories such as Sandia National Laboratories. The new faculty member will play a key role in developing and delivering core courses in the concentration, such as: Introduction to Data Science, Probability and Statistics for Data Science, Optimization and Algorithms, Data Mining and Machine Learning, Capstone in Data Science. This hire will also support course needs in Applied or Pure Mathematics and Statistics, strengthening the department's capacity to serve diverse student populations and client departments (e.g., Sociology, Psychology, Biology, Economics, Political Science). By expanding our ability to deliver rigorous and modern mathematical training, this position will enhance job placement for our students and deepen interdepartmental and external partnerships. This strategic hire is a cornerstone of our newly approved Data Science Concentration, which integrates departmental strengths across Statistics (e.g., applied and Bayesian methods), Pure Mathematics (e.g., topological data analysis), and Applied Mathematics (e.g., machine learning, scientific computing, uncertainty quantification). The hire will support this high-impact, interdisciplinary initiative, which positions our department as a campus leader in modern data-driven education and research.