APTPUO Fall 2025- DTI 6220

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The candidate must have a doctorate in Digital Transformation and Innovation or Electronic Business Technologies. They should have conducted interdisciplinary research and have experience teaching students from diverse backgrounds. Additionally they should have extensive experience teaching graduatelevel courses in data science data mining or machine learning.

The candidate must also have a minimum of 35 years of work/research experience in data analytics data science or a related field. They should have extensive practical knowledge of applying data mining techniques in business settings such as CRM target marketing credit scoring churn analysis survival analysis or fraud detection. Furthermore they should be proficient in using data mining tools and techniques including but not limited to decision trees neural networks and regression analysis.

Additional Information and/or Comments:

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit here for the OLBI unit or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect teamwork and inclusion where collaboration innovation and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply we welcome applications from qualified Indigenous persons racialized persons persons with disabilities women and LGBTQIA2S persons. The University is committed to creating and maintaining an accessible barrierfree work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment assessment and selection processes. Applicants with disabilities may contact to communicate the accommodation need. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.

Prior to May 1 2022 the University required all students faculty staff and visitors (including contractors) to be fully vaccinated against Covid19 as defined in Policy 129 Covid19 Vaccination. This policy was suspended effective May 1 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.