Staff Data Scientist, Growth

We’re looking for an experienced Data Scientist to join one of our cross-functional squads at Shakepay. You’ll work closely with engineering and design, while also partnering across marketing, finance, and operations to help us identify growth opportunities and make smarter decisions across the business.

This role is ideal for someone who thrives in fast-moving environments, enjoys operating with high autonomy, and can turn ambiguous problems into measurable impact. You’ll combine experimentation, statistical rigor, business intuition, and product thinking to influence how we grow, retain, and better serve millions of Canadians.

• Partner closely with engineers and designers across our product squads to improve acquisition, activation, retention, monetization, and customer experience
• Collaborate with marketing, finance, and operations teams to uncover growth opportunities and drive better business decisions
• Champion and evangelize experimentation and decision frameworks that help us ship and iterate quickly with confidence
• Define KPIs and success metrics that help teams stay aligned around measurable outcomes
• Use statistical analysis, forecasting, causal inference, and machine learning techniques to better understand user behavior and business performance
• Identify high-leverage opportunities proactively through deep analysis of user journeys, lifecycle behavior, conversion funnels, and financial performance
• Help shape squad and company priorities by bringing data-informed perspectives on impact, tradeoffs, and ROI
• Build dashboards, models, and self-serve tools that improve visibility into growth and business performance across the organization
• Collaborate with the broader data team to maintain a shared and consistent data layer that serves our stakeholders and internal agents
• Foster a culture of experimentation, curiosity, and evidence-based decision-making across Shakepay

• 8+ years of experience in data science, growth analytics, experimentation, or related roles in high-growth environments
• Strong proficiency in SQL and Python
• Deep understanding of experimentation, causal inference, statistical analysis, forecasting, and KPI design
• Strong product and business intuition, with the ability to connect user behavior to company outcomes
• Experience working cross-functionally with teams such as marketing, finance, operations, or product
• Comfortable operating autonomously and driving ambiguous projects from idea to execution
• Strong communication skills and the ability to influence decisions through data and clear reasoning