Senior Data Scientist - Product, Features & Growth - Open to Remote Across Anz

Canva Canva · Enterprise · Sydney, NSW, Australia · Information Technology

This role is for a Senior Data Scientist focused on product, features, and growth within Canva. The responsibilities include partnering with teams to influence strategic decisions, designing and analyzing A/B tests, building data models and dashboards, defining key metrics, and communicating findings. The role emphasizes using data to drive impact, solving ambiguous problems, and working with large-scale datasets. It is not directly involved in building AI/ML models but uses data science techniques for product and business outcomes.

What you'd actually do

  1. Partnering with teams across Canva to influence strategic decisions through data.
  2. Designing and analysing A/B tests and other experiments that drive product and business outcomes.
  3. Building data models, dashboards, and tooling that help teams scale insights.
  4. Defining and forecasting key metrics to track progress and surface opportunities.
  5. Communicating findings clearly to a wide range of technical and non-technical audiences.

Skills

Required

  • SQL
  • large-scale datasets
  • strategic thinking
  • problem-solving
  • communication
  • storytelling
  • experimentation
  • event instrumentation
  • data warehousing
  • Python or R
  • statistics or a STEM field
  • product funnels
  • growth accounting

Nice to have

  • mentorship
  • best practices
  • collaboration

What the JD emphasized

  • proven track record of using data to drive impact across products or business units
  • write complex SQL with ease and can work with large-scale datasets
  • think strategically, love solving ambiguous problems, and use data to simplify complexity
  • excellent communicator and storyteller — able to translate data into compelling narratives
  • experience with experimentation, event instrumentation, and data warehousing
  • familiar with key tech metrics like product funnels and growth accounting
  • value data accuracy, integrity, and using your craft to enable better decisions