Apply machine learning and predictive modeling at UCalgary in a hybrid Data Scientist position supporting fundraising and alumni engagement analytics.
The University of Calgary seeks a Data Scientist - Applied AI for a full time limited term of approximately 24 months. Reporting to the Manager, Data Systems, you will support Development and Alumni through data mining, applied artificial intelligence, statistical analysis, and forecasting. Your work will address fundraising, communications, and engagement priorities across faculties and support units.
Key Responsibilities: Lead advanced analytics and applied AI program development
Design and evaluate generative AI and predictive solutions
Analyze constituent data to improve fundraising outcomes
Present reports, visualizations, recommendations,



and conclusions
Mentor analysts and build organizational analytics capacity
Requirements: Graduate degree in data science or a similar field
Experience building and optimizing predictive data models
Advanced Python, machine learning, data mining, and statistical skills
Knowledge of Transact-SQL, SQL Server, SSIS, SSRS, IIS, and Visual Studio
Ability to manage projects and communicate complex findings clearly
Bring applied AI, predictive modeling, Python, and stakeholder communication expertise to UCalgary’s fundraising analytics program.

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📌 Applied AI Data Scientist UCalgary (Alberta)
🏢 University of Calgary
📍 Alberta