Lead Data Scientist – Growth & Experimentation

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of experimentation, which is central to this role. Collaborate with Product and Commercial teams to design, execute, and analyze growth experiments — from formulating the hypothesis and determining the test size to interpreting results and driving decisions. Apply rigor (power analysis, causal inference, guardrail metrics) in a rapidly evolving business environment.

• Develop the reporting infrastructure. Manage the essential dashboards and self-service tools utilized by the segment, enhancing an AI-powered reporting system that already automates much of the routine tasks. Your responsibility is to present performance metrics clearly for executives.

• Provide insights, not just analysis. Deconstruct revenue and margin performance into key drivers - volume, mix, pricing, cohort behavior - and proactively inform us about sources of growth, areas of leakage, and recommended actions.

• Maintain a robust data foundation. Oversee collaboration with our central Data Engineering team to ensure that the segment's core data models and pipelines effectively support analytics.

• Refine the forecasting process. Assist Strategic Finance with driver-based revenue forecasting analytics, linking operational indicators to financial outcomes.

⛳️ Requirements

• A minimum of 6 years in data science, growth analytics, or quantitative business roles, with substantial expertise in experimentation and causal inference — you have designed and implemented tests that influenced business decisions.

• Proficient in SQL and Python, with the ability to work directly with large, imperfect datasets independently.

• A proven ability to operate autonomously: defining ambiguous questions, prioritizing your own roadmap, and driving initiatives to conclusion without close supervision.

• Exceptional communication skills suitable for executive audiences: you can explain to a GM why a metric has changed and recommend actions in straightforward language.

• Strong business acumen: you comprehend how growth, product usage, and operational factors relate to revenue and contribution margin.

• Customer-centric mindset: you instinctively ground your analysis in how actual practitioners and patients engage with the product, viewing their behavior as crucial for sound decision-making.

• Experience in large-scale marketplace, eCommerce, SaaS, or healthcare businesses.

• Bonus points if you possess:

• Experience collaborating with FP&A or strategic finance teams.

• Experience in constructing metric trees or driver-based performance frameworks.

• Hands-on experience with AI tools (LLMs, agents) integrated into your analytics processes.

• Familiarity with BI tools such as Sigma, Looker, Tableau, or Power BI.

• Experience in mentoring or managing analysts.

🏝️ Benefits

• Remote-first flexibility, allowing you to work where you are most effective, with a preference for candidates in Ottawa, Toronto, or Calgary.

• Flexible paid time off (PTO) and competitive compensation, emphasizing work-life balance.

• RRSP/401k matching and stock options to secure your financial future.

• Comprehensive benefits package with customizable coverage, paramedical services, and a health savings account (HSA).

• Discounts on Fullscript for high-quality wellness products.

• Opportunities for continuous learning to develop your skills and advance your career.