Calgary Homeless Foundation (CHF)

Calgary Homeless Foundation guides the fight against homelessness. Fueled by this purpose, we envision the day when homelessness is rare, brief, and non-recurring—perhaps an episode in someone's life, but never a condition that defines it. Working in alignment with governments and collaboratively with service providers and community partners, we help translate complex system needs into coordinated, efficient ground-level action that maximizes the impact of every resource and creates lasting pathways out of homelessness.

We are uniquely positioned to observe the many challenges facing our city and strengthen the entire sector through strategic leadership, forward-thinking capacity development, and hands-on, day-to-day support.

Our comprehensive data warehouse reveals the full picture of homelessness in our community, enabling us to anticipate challenges and identify effective solutions. And we unite diverse stakeholders around shared goals and help address complex situations that no single agency can solve alone.

Our collective approach and focus on learning and evaluation equip us to address homelessness across our city while keeping the people experiencing it at the heart of our work. When the system works better together, more people find their way home.

We are looking for passionate, entrepreneurial, and talented people to join our action-oriented, high - impact team.

The Position

Calgary Homeless Foundation (CHF) is seeking a Data Scientist to build and advance our data-science capability, applying advanced analytical methods to better understand homelessness, system dynamics and outcomes and to strengthen evidence-informed planning and decision-making.





CHF maintains person-level and system-level data through its Homeless Management Information System (HMIS) and broader data workplace. This data create opportunities to understand pathways into and out of homelessness, patterns of service use, housing outcomes, movement through the homeless-serving system, changing population needs and pressures on system capacity.

The Data Scientist will lead advanced analytical work using longitudinal administrative data, applying statistical modelling, forecasting, segmentation, machine learning and other appropriate methods. The role will develop analytical approaches that help CHF understand complex patterns, anticipate emerging needs, assess outcomes and examine how changes in programs, investments and system conditions may affect the people and communities we serve.

Working alongside Data Analysts, Data Developers, System Planning and teams across CHF, the Data Scientist will translate complex questions into rigorous, reproducible analysis that informs system planning, program design, resource allocation and strategic decision-making. The role will also help establish strong practices for model development, validation and responsible use as CHF's data environment and analytical needs continue to evolve.

Our Staff

CHF staff are action-oriented individuals who are catalytic leaders, courageous collaborators,



evidence - inspired, and vision - dedicated. They choose to bring their professional expertise and personal talents to the non-profit sector, to add value to the full community. They work cooperatively with others in a strong team environment; demonstrate flexibility in organizing and undertaking work; show a high degree of initiative, discernment and resourcefulness; exhibit excellent communication and relational skills; demonstrate thoughtfulness and intelligence in decision making; and are focused on creating positive outcomes for persons experiencing homelessness.

How We Work Here

At CHF our approach is grounded in purpose, collaboration, and accountability. We believe that how we work together matters as much as what we achieve.

Here’s what you can expect from us—and what we expect from you:

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- Ownership Under Pressure: We take responsibility for outcomes, even when challenges arise.

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- Constructive Feedback: We give and receive feedback openly, with the goal of learning and improving.

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- Pace with Purpose: We move quickly when needed, without sacrificing quality or integrity.

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- Healthy Disagreement: We challenge ideas respectfully and invite discussion to make decisions stronger.

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- Shared Understanding: Expertise means building clarity for others, not being “right by default.”

Our culture values transparency, inclusion, and resilience. We name real pressures — external and internal — and navigate them together. Interviews and development conversations focus on real examples of how we act when it’s hard, because that’s when our values matter most.

📌 Data Scientist (Canada)
🏢 Calgary Homeless Foundation
📍 Canada