Staff Data Scientist, Growth

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Growth based in Canada.

This is a senior individual contributor opportunity focused on using data, experimentation, and analytical rigor to accelerate growth and improve customer experiences.You will work within a cross-functional product squad, partnering closely with engineering and design while collaborating with marketing, finance, and operations.The role combines statistical analysis, causal inference, forecasting, machine learning, and strong business intuition to solve high-impact problems.You will identify growth opportunities across acquisition, activation, retention, monetization, and customer journeys.With significant autonomy, you will turn ambiguous business questions into measurable strategies, experiments, and decisions.Your insights will help shape product priorities, investment decisions, KPIs, and company-wide growth initiatives.This is an ideal environment for a curious, action-oriented data leader who enjoys moving quickly and influencing outcomes through evidence.

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Accountabilities:

• Partner with product, engineering, and design teams to identify and deliver opportunities across acquisition, activation, retention, monetization, and customer experience.

• Collaborate with marketing, finance, and operations to uncover growth opportunities and improve business decision-making.

• Champion experimentation frameworks and evidence-based decision-making, helping teams launch, evaluate, and iterate initiatives with confidence.

• Define KPIs, success metrics, and analytical frameworks that align teams around measurable business outcomes.

• Apply statistical analysis, forecasting, causal inference, and machine learning techniques to understand user behavior and business performance.

• Proactively analyze user journeys, lifecycle behavior, conversion funnels, and financial performance to identify high-impact opportunities.

• Influence product and company priorities by providing data-driven perspectives on impact, trade-offs, and return on investment.

• Build dashboards, analytical models, and self-service tools that improve visibility into growth and business performance.

• Partner with the broader data team to maintain a consistent, reliable data layer for internal stakeholders and teams.

• Promote a culture of experimentation, curiosity, and data-informed decision-making across the organization.

• Manage multiple high-priority analytical projects simultaneously while maintaining strong attention to detail and delivery quality.

Requirements:

• 8+ years of experience in data science, growth analytics, experimentation, or a related discipline, ideally within a high-growth environment.

• Strong proficiency in SQL and Python.

• Deep knowledge of experimentation, causal inference, statistical analysis, forecasting, and KPI development.

• Strong product and business acumen, with the ability to connect user behavior and analytical findings to measurable company outcomes.

• Experience partnering cross-functionally with product, marketing, finance, operations, engineering, or similar teams.

• Demonstrated ability to operate independently and take ambiguous, complex projects from initial problem definition through execution and measurable outcomes.

• Excellent communication skills, with the ability to explain sophisticated analytical concepts clearly and influence senior stakeholders through data and structured reasoning.

• Proven ability to manage multiple projects and priorities while maintaining a high standard of analytical quality.

• Strong curiosity, initiative, adaptability, and bias toward action in fast-paced environments.

• Solid knowledge of data visualization and dashboarding practices.

• Experience with experimentation and product analytics platforms such as PostHog, Statsig, or Amplitude is a plus.

• Experience with dbt, Snowflake, and modern data stacks is desirable.

• Experience with lifecycle marketing, customer segmentation, or growth modeling is an advantage.

• Experience in startup or high-growth consumer environments is a plus.

• Fluency in English is required due to the customer base and nature of the platform.

• Must be eligible to work for an employer in Canada and currently reside in Canada.

Benefits:

• Base salary: CAD $200,000–$250,000 per year, depending on experience, skills, and qualifications.

• Equity: Stock options included as part of total compensation.

• Performance growth: Annual salary assessments and performance-based compensation increases.

• Health & wellness: Comprehensive health and dental coverage, including health and wellness spending accounts.

• Remote-friendly: Work from anywhere in Canada, with optional access to office spaces in Montreal and Toronto.

• Professional development: CAD $2,000 annual budget for courses, certifications, and training.

• Vacation: 20 days of vacation per year, plus a $1,000 bonus when all annual vacation days are used.

• Parental leave: Top-up to 100% of salary for 18 weeks.

• Team connection: Quarterly team-specific or company-wide offsites.

• Opportunity to contribute to the evolution of modern financial services and work on products serving millions of Canadian users.

• A collaborative, fast-moving culture where ideas and impact are valued regardless of title.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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