Shakepay is hiring a Staff Data Scientist Growth in Montreal!
Shakepay, a Montreal-based fintech that has grown from a bitcoin buying and selling app into a broader suite of everyday financial products serving over 1.5 million Canadians, is hiring a Staff Data Scientist for its Growth focus. The company is regulated as an investment dealer across Canada and has raised roughly $44M in venture funding. This is a senior individual-contributor seat embedded in a cross-functional product squad, working alongside engineering and design while also partnering with marketing, finance, and operations. The emphasis is on turning ambiguous growth questions into measurable business outcomes through experimentation, causal inference, and product thinking, and on raising the analytical bar across the organization rather than simply answering ad hoc questions.
Key responsibilities
- Partner with engineers and designers in product squads to improve acquisition, activation, retention, monetization, and overall customer experience
- Work with marketing, finance, and operations to surface growth opportunities and inform business decisions
- Promote experimentation and decision-making frameworks so teams can ship and iterate quickly with confidence
- Define KPIs and success metrics that keep teams aligned on measurable outcomes
- Apply statistical analysis, forecasting, causal inference, and machine learning to understand user behavior and business performance
- Proactively identify high-leverage opportunities by analyzing user journeys, lifecycle behavior, conversion funnels, and financial performance
- Inform squad and company prioritization with data-driven views on impact, tradeoffs, and ROI
- Build dashboards, models, and self-serve tools that widen visibility into growth and business performance
- Contribute to a shared, consistent data layer with the broader data team
- Cultivate a culture of experimentation, curiosity, and evidence-based decisions
Key requirements
- 8+ years in data science, growth analytics, experimentation, or comparable roles in high-growth settings
- Strong SQL and Python proficiency
- Depth in experimentation, causal inference, statistical analysis, forecasting, and KPI design
- Strong product and business intuition linking user behavior to company outcomes
- Experience partnering cross-functionally with marketing, finance, operations, or product
- Comfort driving ambiguous projects autonomously from concept to execution
- Strong communication and influence skills, with clear data-driven reasoning
- Proven ability to juggle multiple projects with high attention to detail
- Bias toward action and speed in fast-moving environments
- Solid grasp of dashboarding and visualization tools
- Bonus: startup or high-growth consumer experience; PostHog, Statsig, or Amplitude; dbt, Snowflake, and modern data stacks; lifecycle marketing, segmentation, or growth modeling; familiarity with Shakepay or Bitcoin
- Seniority: Staff (senior individual contributor)
- Work mode: Remote-friendly anywhere in Canada, with optional offices in Montreal and Toronto
- Salary: $200,000 - $250,000 CAD
- Key skills: SQL, Python, Experimentation, Causal inference, Statistical analysis, Forecasting, KPI design, Machine learning, Data visualization, dbt, Snowflake, PostHog, Statsig, Amplitude
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