Job Description
SCHOOL/COLLEGE: School of Business and Technology
DEPARTMENT: Department of Business
TENURE STATUS: Tenure-track
FLSA STATUS: Exempt
EMPLOYMENT STATUS: Full-time, 9 months
POSITION DESCRIPTION:
The School of Business and Technology at Seton Hill University seeks applications for a tenure-track Assistant Professor of Quantitative Business position (approximately 50% economics and 50% quantitative business analytics/data science), to begin January 1, 2027 (negotiable for an August 2027 start). We welcome applications from teacher-scholars whose work engages applied economics, business analytics, quantitative methods, decision science, econometrics, and/or data-driven decision making. We invite applicants from a broad range of theoretical orientations and methodological approaches, including people with expertise in statistical modeling, time series analysis, forecasting, and/or quantitative applications in business and economics.
The School seeks candidates who will work collaboratively to foster growth and innovation while remaining centered on the mission of the School of Business and Technology and the University. Ideal candidates will demonstrate a commitment to excellence in teaching, an active research agenda, and the potential to contribute to the school's mission through service and student mentorship. The successful candidate will teach a 4-4 load (24 credits annually) across both in-person and online courses in undergraduate and graduate programs, including but not limited to: Principles of Economics (Microeconomics and/or Macroeconomics), Intermediate Macroeconomics, Business Statistics, Introduction to Data Science & Analytics, Time Series Analysis and Forecasting, Decision Analytics, and additional courses based on candidate interest and departmental need. Supervision of internships, student organizations, and engagement in co-curricular involvement is expected. The successful candidate will contribute to both the economics curriculum and the growing quantitative business analytics and decision science offerings within the School.
RESPONSIBILITIES/DUTIES:
SCHOOL/COLLEGE: School of Business and Technology
DEPARTMENT: Department of Business
TENURE STATUS: Tenure-track
FLSA STATUS: Exempt
EMPLOYMENT STATUS: Full-time, 9 months
POSITION DESCRIPTION:
The School of Business and Technology at Seton Hill University seeks applications for a tenure-track Assistant Professor of Quantitative Business position (approximately 50% economics and 50% quantitative business analytics/data science), to begin January 1, 2027 (negotiable for an August 2027 start). We welcome applications from teacher-scholars whose work engages applied economics, business analytics, quantitative methods, decision science, econometrics, and/or data-driven decision making. We invite applicants from a broad range of theoretical orientations and methodological approaches, including people with expertise in statistical modeling, time series analysis, forecasting, and/or quantitative applications in business and economics.
The School seeks candidates who will work collaboratively to foster growth and innovation while remaining centered on the mission of the School of Business and Technology and the University. Ideal candidates will demonstrate a commitment to excellence in teaching, an active research agenda, and the potential to contribute to the school's mission through service and student mentorship. The successful candidate will teach a 4-4 load (24 credits annually) across both in-person and online courses in undergraduate and graduate programs, including but not limited to: Principles of Economics (Microeconomics and/or Macroeconomics), Intermediate Macroeconomics, Business Statistics, Introduction to Data Science & Analytics, Time Series Analysis and Forecasting, Decision Analytics, and additional courses based on candidate interest and departmental need. Supervision of internships, student organizations, and engagement in co-curricular involvement is expected. The successful candidate will contribute to both the economics curriculum and the growing quantitative business analytics and decision science offerings within the School.
RESPONSIBILITIES/DUTIES:
- Teaching and advising (undergraduate and graduate programs in Quantitative Business, Economics, and Business Analytics, including in-person and online courses)
- Demonstration of content expertise in appropriate areas