Staff Data Scientist, Shakepay

• 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
• 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
• A demonstrated ability to manage and deliver on multiple projects with high attention to detail
• Curiosity, speed, and a bias toward action in fast-moving environments
• Solid understanding of dashboarding and data visualization tools
• Willingness to learn and grow in a fast-paced environment
• Fluency in English is required due to the percentage of English-speaking customers and the nature of our platform, which is available to all Canadians

Desirable

• 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
• 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