The Department of Data Science requires a sessional instructor to teach DASC 6210 Data Analysis in Business and Economics during the Winter 2027 semester.
Duties include delivering lectures seminars and applied laboratory sessions as well as marking assignments case studies tests and examinations. The course is already developed and has been offered on a regular basis.
The successful candidate will be responsible for facilitating student learning in the application of data science analytics decision modeling and optimization techniques in business and economic contexts. Course topics include decision analysis risk analysis spreadsheet modeling business analytics forecasting regression modeling optimization simulation multi-criteria decision making dashboard development and data-driven decision support systems. Students learn to integrate analytical methods and statistical models with managerial judgment to solve realistic business problems and support strategic decision-making.
The successful candidate should demonstrate the ability to teach graduate-level students and support experiential learning through case studies business applications analytical modeling and practical data analysis exercises. Experience teaching business analytics decision sciences operations research forecasting applied statistics or related fields will be considered an asset.
Other courses may be assigned depending on departmental needs and the qualifications and expertise of the candidate.
Thompson Rivers University (TRU) is a uniquely comprehensive and student-focused institution built on over 50 years of excellence in post-secondary education and training.
Located in Kamloops British Columbia TRU offers a dynamic learning and research environment that combines academic excellence innovation and solid community connections. Kamloops provides outstanding recreational cultural social and economic opportunities and enjoys more than 2000 hours of sunshine annually.
Requirements
Required Qualifications
1. PhDs degree in Data Science Business Analytics Statistics Economics Operations Research Industrial Engineering Management Science Computer Science Mathematics or a closely related discipline.
2. Demonstrated expertise in data analysis statistical modeling decision analysis business analytics optimization forecasting and quantitative decision-making.
3. Experience using analytical software and tools such as R Python Tableau Power BI or equivalent platforms.
4. Ability to effectively teach graduate-level students.
5. Strong communication skills and fluency in spoken and written English.
Preferred Qualifications
1. Prior university-level teaching experience.
2. Experience teaching business analytics data analytics management science decision analysis optimization forecasting applied statistics or related courses.
3. Evidence of teaching effectiveness through teaching evaluations curriculum development instructional innovation or a teaching dossier.
4. Experience applying analytical and predictive modeling techniques to real-world business economic or industry problems.
5. Experience supervising graduate students and facilitating case-based or project-based learning.
6. Professional experience in business analytics decision support systems management consulting data science or a related industry setting.