Data Scientist

Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.

More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.

We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.

Bree is on a mission to build the best AI native engineering team. Ideal candidates have a deep understanding of modern data stack and use AI tools for efficient, reliable delivery. Read more about AI native engineering teams here.

You’ll be at the intersection of product, engineering, and growth, shaping how we make decisions, measure performance, and scale data infrastructure to support millions of Canadians.

• Conduct deep-dive analyses to uncover user behaviours, friction points, and growth opportunities.

• Design and analyze A/B tests to optimize user experience and conversion rates.

• Develop and maintain high-leverage dashboards and self-serve reporting tools for product and business teams.

• Leverage statistics and machine learning to provide predictive insights and enhance personalization.

• Help build and maintain a unified data warehouse that supports both operational and analytical use cases.

• Proficiency in SQL and Python, with a track record of building clean, reusable analytical code.

• Familiarity with experimentation frameworks, causal inference, and statistical modelling.

• Strong data visualization skills and experience with BI tools (e.g. Metabase and Streamlit).

• Exceptional collaboration and communication skills, thriving in low-churn teams focused on excellence and innovation.

• Top of the market compensation for top performers

• $1,500 annual learning stipend

• $1,000 annual wellness stipend

• $250 monthly lunch stipend

• Comprehensive insurance coverage

• 2 annual company retreats

• Parental leave

• Unlimited PTO