California Polytechnic State University, San Luis Obispo, Statistics Department

Position ID:

2313-TT [#28606, 559904]

Position Title:

Tenure Track Position - Statistics/Data Science

Position Type:

Tenured/Tenure-track faculty

Position Location:

San Luis Obispo, California 93407, United States of America

Subject Areas:

Statistics; Data Science

Starting Date:

2027/08/12

Salary Range:

$97,788 - $118,524

Appl Deadline:

2026/08/31 23:59:59 (posted 2026/07/14, listed until 2027/01/14)

Position Description:

The Statistics Department in the Bailey College of Science and Mathematics at California Polytechnic State University, San Luis Obispo, is seeking applications to fill multiple full-time, academic year, tenure track positions, with appointment beginning approximately August 12, 2027.

The successful candidate will join Cal Poly’s Statistics Department and contribute to teaching, scholarship, and service while also engaging in cross-disciplinary collaborations. Candidates must be committed to high-quality undergraduate and graduate education and to supporting our BS Statistics, BS Data Science and MS Statistics programs. Candidates must have the ability to teach a range of statistics courses, including service courses, upper-division electives, and graduate-level courses, and to mentor graduate students by advising MS theses. The department is especially interested in candidates specializing in data science but will consider candidates with expertise in any area of statistics. As scholars, faculty are expected to maintain an active scholarly agenda with externally validated outcomes such as peer-reviewed publications, grants, conference presentations, or other externally reviewed outputs. As colleagues, faculty are encouraged to contribute service at all levels of the University, including department, college, and university levels, and to contribute professional service. The typical teaching assignment is seven 3-unit semester courses per year on a 4–3 load, with opportunities for adjustments based on research mentoring, supervision of MS theses, or external funding. Teaching responsibilities will include major courses at lower-division, upper-division, and graduate level as well as statistics service courses for non-majors with the possibility of developing new courses in the candidate’s area of specialty.

Appointment at the Assistant Professor rank is anticipated; higher ranks will be considered. Rank and salary are commensurate with qualifications and experience of the individual selected. • If appointed at the Assistant Professor rank, the anticipated hiring range is $97,788 - $107,628. • If appointed at the Associate Professor rank, the anticipated hiring range is $112,500 - $118,524.

Bailey College is committed to maintaining the excellence of the University and to offering our students a rich variety of expertise, perspectives, and ways of knowing and learning. The successful candidate will be mindful to promote student success. Successful candidates should consider the University’s goals in their approach to teaching, research, and service.

Cal Poly embraces a teacher-scholar model in which faculty are expected to be excellent teachers, produce scholarship in their field of interest, and provide service to the institution. The selected candidate will consider using creative teaching approaches that enhance student learning and participate in scholarly practices such as peer-reviewed research, conference presentations, and grant development that leads to publication. The selected candidate will pursue a systematic program of research and scholarship, curricular improvement, and participate in service activities including committee service, student advising, and building industry relationships.

We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.calpoly.edu/sl/en-us/job/559904/tenure-track-position-statisticsdata-science .

Contact: Karen McGaughey

Email: email address

Postal Mail:

: 1 Grand Avenue
San Luis Obispo, CA 93407

Web Page: https://statistics.calpoly.edu/