Shakepay is hiring a Senior Data Scientist Growth in Montreal!
Shakepay is a Canadian fintech on a mission to bring bitcoin into everyday financial life, offering a suite of products that includes buying and selling bitcoin, the Shakepay Card, direct deposit, bill payments and Interac e-Transfer, and serving more than 1.5 million Canadians. Regulated as an investment dealer across all provinces and territories and backed by $44M in venture funding, the company is hiring a Senior Data Scientist, Growth to sit in one of its cross-functional product squads. Working alongside engineering and design while partnering with marketing, finance and operations, this person will turn ambiguous business questions into measurable impact across acquisition, activation, retention, monetization and customer experience. The role calls for a self-directed scientist who blends experimentation and statistical rigor with product intuition, influences company priorities with data-informed views on impact and ROI, and helps build a shared data culture of curiosity and evidence-based decision-making. The position is remote-friendly anywhere in Canada, with optional access to offices in Montreal and Toronto.
Key responsibilities
- Embed with a cross-functional product squad to improve acquisition, activation, retention, monetization and customer experience
- Partner with marketing, finance and operations to surface growth opportunities and sharpen business decisions
- Champion experimentation and decision 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
- Shape squad and company priorities with data-informed perspectives on impact, tradeoffs and ROI
- Build dashboards, models and self-serve tools that raise visibility into growth and business performance
- Work with the wider data team to keep a consistent, shared data layer for stakeholders and internal agents
- Foster a culture of experimentation, curiosity and evidence-based decision-making
Key requirements
- 5+ years in data science, growth analytics, experimentation or related roles in high-growth environments
- Strong SQL and Python proficiency
- Deep grounding in experimentation, causal inference, statistical analysis, forecasting and KPI design
- Strong product and business intuition linking user behavior to company outcomes
- Experience working cross-functionally with marketing, finance, operations or product
- Comfort operating autonomously and driving ambiguous projects from idea to execution
- Strong communication and the ability to influence decisions through data and clear reasoning
- Proven ability to manage multiple projects with high attention to detail
- Curiosity, speed and a bias toward action
- Solid grasp of dashboarding and data visualization tools
- Fluency in English required; bonus for startup or consumer growth experience, product analytics tooling such as PostHog, Statsig or Amplitude, modern stacks like dbt and Snowflake, lifecycle marketing or growth modeling, and enthusiasm for bitcoin
- Seniority: Senior
- Work mode: Remote-friendly within Canada; optional office access in Montreal and Toronto
- Salary: $150,000 - $200,000 CAD
- Key skills: SQL, Python, Experimentation, Causal inference, Statistical analysis, Forecasting, KPI design, Machine learning, Product analytics, Dashboarding, Data visualization, dbt, Snowflake, PostHog, Statsig
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