Senior Data Scientist, Homelessness Analytics & Impact

Calgary Homeless Foundation; Calgary; On-site; CAD 90,000 - 130,000; Full time

Job summary

Calgary Homeless Foundation seeks a Data Scientist to build and advance its data-science capability, applying advanced analytical methods to better understand homelessness, system dynamics and outcomes. The role will strengthen evidence‑informed planning and decision‑making across CHF’s HMIS and data environment.

Working with Data Analysts and Developers, you will translate complex questions into rigorous analyses, develop predictive models, and establish reproducible workflows while upholding

Qualifications

• Graduate degree in Data Science, Statistics, or related quantitative field preferred.
• 5+ years applying advanced statistical methods to real-world datasets.
• Experience with longitudinal, administrative or complex datasets.

Responsibilities

• Lead development of advanced statistical methods for homelessness and system planning.
• Develop longitudinal analyses and models of pathways into, through and out of homelessness.
• Create population segmentation and cohort methodologies to identify differences in needs and outcomes.
• Apply causal‑inference and quasi‑experimental methods where appropriate.
• Translate analytical findings into clear implications for CHF leadership and partners.

Skills

Statistical Modelling

Machine Learning

Python

SQL

Education

Graduate degree in Data Science or related field

Tools

Python

R

SQL

Job description

Calgary Homeless Foundation seeks a Data Scientist to build and advance its data-science capability, applying advanced analytical methods to better understand homelessness, system dynamics and outcomes. The role will strengthen evidence‑informed planning and decision‑making across CHF’s HMIS and data environment.

Working with Data Analysts and Developers, you will translate complex questions into rigorous analyses, develop predictive models, and establish reproducible workflows while upholding