Role Description
Posting limited to: Professeur Γ temps-partiel rΓ©gulier / Regular Part-Time Professor
Course Title: ESNTL CONCEPTS IN DATA SC
Course Code: MIA5126
Course Schedule: Jeudi | Thursday 19:00-22:00
Expected Enrolment: 30
Number of credits: 3
Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025)
The academic year starts on September 1 and ends on August 31. These rates do not include vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Qualifications
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Ph.D. in DTI, Data Science, Computer Science, Statistics, Mathematics, or a closely related field with a strong focus on Data Science, analytics, or AI/ML.
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Strong expertise in Data Science, including statistical modelling, machine learning, data visualization, descriptive and predictive analytics, and time series analysis.
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Applied experience in data engineering, data warehousing, big data analytics, and data workflows/pipelines.
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Demonstrated industry experience applying Data Science techniques to real-world problems.
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Teaching experience in Data Science or related fields at the undergraduate and/or graduate level.
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Ability to explain complex technical concepts to diverse student cohorts.
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Hands-on experience with modern Data Science tools and technologies, including Python, SQL, Spark, ML frameworks, and cloud platforms such as AWS, Azure, or Google Cloud.
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Familiarity with distributed data storage and processing systems.
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Proven data Science industry experience and demonstrated experience incorporating project-based or experiential learning approaches in teaching.
Requirements
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The course is online.
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An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.
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If you are invited to continue the selection process, please notify us of any adaptive measures you might require.
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Information you send us will be handled respectfully and in complete confidence.
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Employees are required under provincial law to successfully complete all mandatory legislated training.
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The hiring process will be governed by the current APTPUO collective agreements.
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All qualified persons are invited to apply; however, Canadians and permanent residents will be given priority.
Benefits
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The University of Ottawa embraces diversity and inclusion in the workplace.
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We are passionate about our people and committed to employment equity.
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We foster a culture of respect, teamwork, and inclusion.
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Collaboration, innovation, and creativity fuel our quest for research and teaching excellence.
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We welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women, and LGBTQIA2S+ persons.
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The University is committed to creating and maintaining an accessible, barrier-free work environment.
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The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment, and selection processes.