Use product analytics and causal inference at Shakepay to understand user behavior, improve retention, and guide decisions from anywhere in Canada.
This Staff Data Scientist, Growth role connects experimentation, forecasting, machine learning, and business intuition. You will collaborate with product squads, marketing, finance, and operations to identify opportunities across lifecycle behavior, conversion funnels, and financial performance. Shakepay serves more than 1.5 million Canadians through Bitcoin and everyday financial products.
Key Responsibilities: Analyze user journeys, lifecycle behavior, and conversion funnels
Uncover growth opportunities with marketing, finance, and operations
Champion experimentation and evidence-based decision frameworks
Forecast business performance and investigate user behavior
Maintain a consistent shared data layer with the data team
Requirements: 8+ years in data science, experimentation, or growth analytics
Solid SQL and Python skills
Product and business intuition connecting behavior to outcomes
Ability to influence decisions through clear data reasoning
Understanding of dashboarding and data visualization tools
Apply product thinking, causal inference, and rigorous analysis to improve how Canadians experience Shakepay products.