Tenure Track Position - Statistics/Data Science

California Polytechnic State University-San Luis Obispo

San Luis Obispo (CA)

On-site

USD 97,288 - 118,524

Full time

14 days+
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Job summary

California Polytechnic State University, San Luis Obispo, seeks multiple full-time, tenure-track faculty in Statistics and/or Data Science beginning August 12, 2027. Candidates will contribute to teaching, scholarship, and service while collaborating across disciplines.

The role supports BS Statistics, BS Data Science, and MS Statistics, with a teaching load of seven 3-unit courses per year on a 4–3 basis. Appointment is at the Assistant Professor rank with potential for higher ranks; salary

Qualifications

  • 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 bachelor 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.

Responsibilities

  • Teach a range of statistics and data science courses at undergraduate and graduate levels.
  • Mentor MS theses and supervise student research.
  • Engage in scholarship with externally validated outcomes (publications, grants, presentations).
  • Contribute to service at department, college, and university levels.

Skills

Student-centered learning
Multidisciplinary collaboration
Undergrad/grad teaching
MS thesis supervision
Scholarly productivity
Diversity and inclusion

Education

Ph.D. in Statistics or related field

Job description

Job Summary

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. They must be able to teach a range of statistics courses, including service courses, upper‑division electives, graduate‑level courses, and 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. Scholars are expected to maintain an active scholarly agenda with externally validated outcomes such as peer‑reviewed publications, grants, conference presentations, or other external reviews. 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 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 is at the Assistant Professor rank, with higher ranks considered. Rank and salary are commensurate with qualifications and experience.

  • 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.
Required Qualifications
  • 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 bachelor 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.
Preferred Qualifications
  • 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.
Special Conditions

The person holding this position is considered a “mandated reporter” under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. A background check, including a criminal records check, must be completed satisfactorily before any candidate may start work with Cal Poly. Failure to satisfactorily complete the background check may result in the withdrawal of the offer of employment.

Equal Opportunity and Excellence in Education and Employment

This position is open and available to all regardless of race, sex, color, ethnicity, or national origin. Consistent with California law and federal civil rights laws, Cal Poly provides equal opportunity in education and employment without unlawful discrimination or preferential treatment. Our commitment to equal opportunity ensures that every student and employee has access to the resources and support needed to thrive. Cal Poly complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act, Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California’s Proposition 209, and all applicable state and federal anti‑discrimination laws. We prohibit discriminatory preferential treatment, segregation, and all forms of discrimination, harassment, or retaliation in all university programs, policies, and practices.

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