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.
Applied AI Data Scientist UCalgary employer: University of Calgary
The University of Calgary is an exceptional employer that fosters a collaborative and dynamic work environment, making it an ideal place for professionals in procurement. With a strong commitment to employee growth, the university offers numerous opportunities for professional development and advancement, alongside a supportive culture that values high-quality service to campus stakeholders. Located in the vibrant city of Calgary, employees benefit from a rich community and access to various resources that enhance both personal and professional life.
