Transform complex constituent data into fundraising insights as a Data Scientist - Applied AI supporting the University of Calgary’s advancement community.

Working with the Manager, Data Systems, you will study internal and external datasets to identify engagement, donation, and outreach opportunities. The role supports Development and Alumni teams, including Annual and Leadership Giving and Alumni Engagement, while coordinating with Prospect Research and Pipeline staff. It combines predictive modeling, statistical analysis, data visualization, and strategic project leadership.

Key Responsibilities:

- Identify trends in giving, interests, volunteerism, and events
- Gather, filter, segment, and append constituent datasets
- Build predictive, behavioral, and AI-assisted solutions




- Develop visual intelligence tools and business applications
- Manage model imports into Blackbaud CRM

Requirements:

- Graduate degree and demonstrated predictive modeling expertise
- Ability to synthesize large datasets and actionable insights
- Experience with Tableau, Power BI, or Reporting Services
- Intermediate to advanced Transact-SQL and database querying knowledge
- Skilled SQL Server, SSIS, SSRS, IIS, and Visual Studio experience

Apply data mining, predictive modeling, visualization, and Blackbaud CRM expertise to meaningful University of Calgary fundraising analytics.

📌 Fundraising Analytics Data Scientist (Calgary)
🏢 University of Calgary
📍 Calgary