Data Scientist

At CanadaHelps we believe in the power of generosity - not just for those who receive it, but for everyone it touches. Every act of generosity sparks connection, inspires change, and brings people together. This is an opportunity to join something bigger: a movement that fuels progress, strengthens communities, and reminds us of what’s possible when we come together.

We are a dedicated team of entrepreneurial-minded peers who believe in a world where everyone can thrive. We offer a flexible, inclusive environment built on growth, ambition, and shared success.

CanadaHelps provides the most comprehensive and flexible range of giving solutions for donating to any charity in Canada, and we partner with charities of all sizes to ensure they have the tools they need to achieve their goals.

About the role:

We are looking for a full-timeData Scientist. The ideal candidate will be a strong partner to cross-functional teams, in understanding new and existing product offerings, and recommend advanced analytical products and solutions. We are looking for someone who loves to solve problems using various advanced analytical techniques and algorithms.

Reporting to the Director of Data & Analytics, your primary focus is advanced analytics - building models, uncovering behavioural and usage patterns, and generating insights that help charity partners and donors make smarter, data-driven decisions.  This is an ideal opportunity for someone that wants to “use data science for good” and apply statistical and machine learning techniques to solve real-world social impact challenges. This is a new role.

The annual salary range for this role is$70,000 - $80,000.Where an offer falls within this range is determined through the interview process. Candidates are benchmarked by the hiring team based on role scope, relevant experience, skill alignment, and expected impact, using consistent and objective criteria.

This position is remote but may require to be in-office in Toronto for team collaborations.

Responsibilities:

Responsibilities will include but are not limited:

• Charity Data Expertise: Become a subject matter expert on how charity data is stored and structured across multiple systems.
• Conduct advanced analyses on donor behaviour, fundraising trends, and platform engagement
• Support the development, testing, and deployment of predictive models (e.g., donor segmentation, churn prediction, lifetime value estimation)
• Explore large datasets to identify patterns, anomalies, and opportunities for optimization
• Collaborate with product, engineering, and marketing teams to evaluate experiments and measure the impact of new features or campaigns
• Build clear, accessible dashboards and visualizations that complement deeper analytical work
• Contribute to research projects that examine trends in Canadian giving and the charitable sector
• Communicate findings through compelling narratives tailored to both technical and non‑technical audiences
• Help maintain data quality, documentation, and analytical best practices
• Apply foundational AI and machine learning techniques to support projects such as recommendation systems, classification models, and automated insight generation

Required Skills and Experience:

• A degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field
• Strong skills in Python or R, plus experience with SQL
• 1-2 years of hands-on experience in statistical modelling, machine learning, and experimental design
• Interest or emerging experience in AI/ML techniques, such as working with classification models, clustering, natural language processing, or recommendation systems
• Comfort learning new tools, frameworks, and AI‑driven approaches as the field evolves
• Ability to translate complex analytical results into actionable insights
• 1-2 years of applied experience with data visualization tools (Tableau, Power BI, or similar)
• A collaborative mindset and enthusiasm for contributing to a mission-driven organization
• A natural sense ofdata curiosity— you enjoy exploring datasets, asking thoughtful questions, and digging deeper to uncover what’s really happening beneath the surface
• Strongstorytelling skills, with the ability to craft clear, compelling narratives that help stakeholders understand the “so what” behind the data
• Exceptional communication skills, both verbal and written.
• Knowledge of using CRM tools such as Salesforce and web analytics tools, and experience in experimentation (A/B testing, experimental design) an asset
• Experience in and ability to play “trusted advisor” to internal stakeholders and help make change happen.
• Fast learner. Being a fast learner also means the ability to admit defeat, ask for help and iterate quickly so you can learn from your mistakes and move ahead.

We believe in everyone

At CanadaHelps, we commit to pursuing deliberate efforts to ensure that our company is a place where differences are welcomed, different perspectives are respectfully heard and where every individual feels a sense of belonging and inclusion.We know that by creating a vibrant climate of inclusiveness, we can more effectively advance our collective capabilities.

AI in Recruitment :

CanadaHelps does not use AI-enabled tools to screen, assess, rank, or select candidates in our recruitment process. Our hiring teams make all hiring decisions.