Borrowell

FinTech

DataScientist

CA$80–130k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at Borrowell. Skills: Data science, Machine learning, Analytics, Predictive modeling. Analyze member behavior. Evaluate experiments”

What You'll Achieve.

Deliver measurable business impact; Improve marketplace performance; Improve product matching; Improve experience matching

Industry & Context.

FinTech
Problems you'll solve

Break down ambiguous business questions; Identify right data; Recommend practical path

Eligibility Requirements

Credit check, Criminal record check, Physically located in Ontario

What They're Looking For.

Must Have

2+ years data science experience, 2+ years analytics experience, 2+ years machine learning experience, Experience building predictive models, Experience with experimentation, Experience with A/B testing, Python skills, SQL skills, Written communication skills, Verbal communication skills, Comfortable owning work independently

Nice to Have

Experience with Snowflake, Experience with Databricks, Experience with BigQuery, Experience with Redshift, Experience with Looker, Experience in consumer technology, Experience in fintech, Experience in marketplaces, Experience in growth-oriented product environments

What You'll Do.

Analyze member behavior

Develop recommendation systems

Develop predictive models

Improve marketplace performance

Frame data science projects

Analyze data science projects

Implement data science projects

Measure data science projects

Iterate on data science projects

Apply experimentation

Apply machine learning

Improve product matching

Improve experience matching

Turn business questions into insights

Turn business questions into recommendations

Contribute reusable datasets

Contribute reusable features

Contribute reusable documentation

Contribute reusable monitoring

Contribute reusable processes

How You'll Work.

Team & Collaboration

Work with Product teams; Work with Business teams; Work with Data teams; Work with Engineering teams; Partner with stakeholders

Communication Scope

Explain insights; Explain recommendations; Explain trade-offs

Process & Methodology

Problem framing, Implementation, Measurement, Iteration

Full Job Description

**About Borrowell: ** At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively. With over four million members, Borrowell empowers Canadians to understand their credit, build credit through Rent Advantage and Credit Builder, and make better financial product choices. Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money. **About the Role:** As a Data Scientist, you’ll work closely with Product, Business, Data, and Engineering teams to help Borrowell make better decisions and build better experiences for our members. Your work may range from analyzing member behavior and evaluating experiments to developing recommendation systems and predictive models that improve marketplace performance. This is a hands-on role with significant ownership. You’ll work on problems from initial scoping through implementation, measurement, and iteration, partnering directly with stakeholders to understand the business problem before determining the right solution. During your first year, you can expect to: * **Deliver measurable business impact** – Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration. * **Use data to solve business problems** – Apply analytics, experimentation and machine learning where appropriate, while recognizing when a simpler solution is the better choice. * **Contribute to Borrowell’s pers

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