Data Science Leader for Financial Insights

3 weeks ago

Toronto, Ontario, Canada Borrowell Full time

About Borrowell:

Borrowell is a leading Canadian fintech company that empowers individuals to make informed decisions about their finances. Our mission is to help people feel confident about money, and we achieve this through innovative digital tools, educational resources, and personalized product recommendations.

As one of the largest fintech companies in Canada, with over 3 million members, Borrowell is committed to building a diverse and inclusive workplace. We strive to create an environment where high-performing yet humble individuals can thrive and drive business success.

We value diversity and believe that it makes us better. If you're passionate about data science and want to join a team that's making a positive impact on people's lives, read on to learn more about our Data Science Manager role.

About the Role

The Data Science Manager will be responsible for developing and executing a comprehensive data science strategy that aligns with Borrowell's goals. This includes overseeing end-to-end project management from conceptualization to delivery, ensuring quality and timely execution. The successful candidate will also influence Borrowell's product roadmap and business strategies by implementing innovative and impactful data science solutions at scale.

In your first year, you can expect to:

  • Develop a data science strategy and roadmap that aligns with company objectives by collaborating cross-functionally with product, business, and engineering teams
  • Oversee end-to-end project management from conceptualization to delivery, ensuring quality and timely execution
  • Influence Borrowell's product roadmap and business strategies by implementing innovative and impactful data science solutions at scale
  • Build our data science team from the ground up
  • Manage end-to-end delivery of models, including partnering with external stakeholders

To succeed in this role, you'll need:

  • 2+ years of experience in leading data science teams, with a desire to build a team from the ground up and willingness to stay technical
  • Strong ability to develop, articulate, and execute a comprehensive data science strategy that aligns with business objectives and supports the organization's long-term vision
  • Experience managing the entire machine learning lifecycle, from gathering business requirements to implementing models in production
  • Demonstrated proficiency in programming languages such as Python and SQL for data analysis
  • Excellent communication skills, with the ability to translate complex analytical concepts to non-technical stakeholders and influence business/product decisions

Nice to haves include:

  • Experience in the fintech or e-commerce industry
  • Experience with ML Ops
  • Experience with DBT and Airflow
  • Experience with Flask, FastAPI
  • Familiarity with data visualization tools, such as Looker

Join our talented team and contribute to creating innovative data-driven solutions that empower Canadians to take control of their finances. As a remote-first company across Canada with an office in Toronto, you'll have the flexibility to work from anywhere while still being part of a dynamic team.

**Estimated salary:** $140,000 - $180,000 per annum (dependent on location and experience)

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