Assistant Professor of Business Analytics
The Department of Management is seeking an Assistant Professor of Business Analytics.
Proposed hire date is September 1, 2021. Hiring is contingent upon current budget environment.
The Department of Management is seeking enthusiastic applicants for an Assistant Professor of Business Analytics position beginning Fall 2021. The successful candidate will be responsible for teaching undergraduate and graduate courses in Business Analytics including but not limited to Statistics, Predictive Analytics, Prescriptive Analytics, Data Mining, Text Analytics, Statistical Programming, Multivariate Statistics, Structural Equation Modeling, and Research Theory. This individual may be afforded the opportunity to develop courses in their area(s) of interest. This individual will assist Management faculty with program development, assessment, and expansion of course offerings.
Finalists being interviewed for the position may be expected to make a presentation to faculty and students. Summer teaching is typically available but is contingent upon University funding. Salary commensurate with experience. Faculty are expected to teach on the main campus in Stephenville, online, and possibly off-campus locations in Fort Worth, Waco, and Midlothian. For additional information regarding the College of Business and the Department of Management, please go to: https://www.tarleton.edu/mgmt/index.html
80% Teaching/Service: Develop, implement and review effective teaching/learning processes, incorporating appropriate methodology, technology and other tools. Remain current in discipline and update course content when appropriate to reflect the current levels of knowledge in the discipline. Faculty members are normally assigned teaching schedules of 12 semester hours of undergraduate or 9 semester hours of graduate courses in Fall and Spring terms.
Maintain an appropriate schedule of office hours for student access and inquiry. Participate in institutional service roles such as but not limited to, college committees, club sponsorships, advisory committees, student/faculty recruitment, and mentoring of new and part-time faculty.
20% Research, Scholarship, and Creative Activity: Demonstrate a record of career long evidence of significant scholarly contributions to the profession.
Required Education and Experience:
A doctorate in Business with a focus in Business Analytics, Decision Sciences, Management Science, Operations Research, or closely related field from an AACSB accredited institution, completed prior to September 1, 2021. ABD’s near completion considered on a probationary basis. Must demonstrate a commitment to excellence in teaching, service, and intellectual contributions to the discipline supporting the College of Business’ strategic initiatives.
A doctorate in Business with a focus in Business Analytics, Decision Sciences, Management Science, Operations Research, or closely related field from an AACSB accredited institution. Teaching, professional, or research experience in the focus area is preferred.
Males, age 18 through 25, must be properly registered with the Selective Service System to be eligible for hire. This position is designated as a security sensitive position and requires a satisfactory criminal history background check. Tarleton State University, an Equal Opportunity and Affirmative Action Employer and Educator, is committed to excellence through diversity.
Application must be completed online at: https://www.tarleton.edu/jobs/index.html
Tarleton State University is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer. As a member of The Texas A&M System, Tarleton will provide equal opportunity for employment to all persons regardless of race, color, sex, religion, national origin, age, disability, genetic information, veteran status, sexual orientation or gender identity and will strive to achieve full and equal employment opportunity through The Texas A&M System.
For more information, contact:
Dr. Triss A. Ashton, Department Head
Department of Management
College of Business