Tenure Track Position - Statistics/Data Science

Cal Poly • San Luis Obispo, CA

2d • $97,788 - $118,524 • Onsite

About The Position

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 in Statistics and/or Data Science, 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.

Requirements

• Ph.D. in Statistics or a closely related field.
• Demonstrated experience and commitment to student-centered learning.
• Demonstrated ability to collaboratively work in multidisciplinary settings.
• Demonstrated potential for high quality teaching of bachelors and master’s level statistics and/or data science.
• Demonstrated potential for advising master’s students in statistics.
• Demonstrated potential for research that includes student collaborators.
• Demonstrated potential for scholarly productivity.
• Demonstrated potential for promoting the well-being and advancement of students, colleagues, and the department.
• Demonstrated ability to work with a diverse population fostering a respectful, collaborative, supportive, and inclusive environment.

Nice To Haves

• Experience and commitment to excellence in teaching statistics at the university level.
• Experience and commitment to excellence in teaching data science at the university level.
• Experience with research in statistics and/or data science.
• Experience supervising student research.

Responsibilities

• Contribute to teaching, scholarship, and service.
• Engage in cross-disciplinary collaborations.
• Teach a range of statistics courses, including service courses, upper-division electives, and graduate-level courses.
• Mentor graduate students by advising MS theses.
• Maintain an active scholarly agenda with externally validated outcomes such as peer-reviewed publications, grants, conference presentations, or other externally reviewed outputs.
• Contribute service at all levels of the University, including department, college, and university levels.
• Contribute professional service.
• Teach major courses at lower-division, upper-division, and graduate level.
• Teach statistics service courses for non-majors.
• Develop new courses in the candidate’s area of specialty.
• Use creative teaching approaches that enhance student learning.
• Participate in scholarly practices such as peer-reviewed research, conference presentations, and grant development that leads to publication.
• Pursue a systematic program of research and scholarship, curricular improvement.
• Participate in service activities including committee service, student advising, and building industry relationships.

Benefits

• Full-time, academic year, tenure track positions
• Opportunities for adjustments based on research mentoring, supervision of MS theses, or external funding.
• Rank and salary are commensurate with qualifications and experience of the individual selected.
• Anticipated hiring range for Assistant Professor: $97,788 - $107,628.
• Anticipated hiring range for Associate Professor: $112,500 - $118,524.
• Access to additional resources for teaching and applied research through the Noyce School of Applied Computing.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree