Job opportunity
Data Scientist for Calgary Homeless Foundation
Calgary-Homeless-Foundation
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 strong 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
• Strong communication skills for diverse audiences
Contribute to data-driven decisions and create meaningful outcomes addressing homelessness in Calgary.
#J-18808-Ljbffr
Apply on source site 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 strong 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
• Strong communication skills for diverse audiences
Contribute to data-driven decisions and create meaningful outcomes addressing homelessness in Calgary.
#J-18808-Ljbffr