Drive impactful data analysis as a Data Scientist at Calgary Homeless Foundation. Use advanced statistical modeling and machine learning to tackle homelessness and enhance decision-making. As a Data Scientist, you will advance analytical capabilities, leading studies on homelessness patterns and system dynamics.

Collaborate with diverse stakeholders while translating complex data into actionable insights for effective resource allocation and program development. This role involves building statistical models, forecasting needs, and assessing outcomes to strengthen our mission. Key Responsibilities:
Lead advanced statistical analyses to understand homelessness trends
Develop forecasting models for resource allocation and service demand




Conduct longitudinal studies to assess housing stability and outcomes
Translate complex questions into reproducible analytical frameworks
Develop robust practices for data integrity and responsible usage Requirements:
Master’s degree in Data Science, Statistics, or related field
5+ years in advanced statistical methods and data analysis
Proficiency in Python, R, and SQL
Experience with longitudinal and administrative datasets
Robust communication skills for diverse audiences Contribute to data-driven decisions and create meaningful outcomes addressing homelessness in Calgary.

📌 Data Scientist For Calgary Homeless Foundation
🏢 Calgary Homeless Foundation
📍 Calgary