Note: The job is a remote job and is open to candidates in USA. Fullscript is hiring a Lead Data Scientist to own analytics for one of its fastest-growing segments. The role partners with Product, Commercial, Finance, and business leaders to run growth experiments, build reporting, analyze performance drivers, and support revenue forecasting.
Responsibilities
- Own experimentation (the heart of the role). Partner with Product and Commercial teams to design, run, and read growth experiments — from framing the hypothesis and sizing the test to calling the result and pushing the decision. Bring rigor (power analysis, causal inference, guardrail metrics) to a business moving fast
- Build the reporting backbone. Own the core dashboards and self-serve tooling the segment runs on, evolving an AI-augmented reporting stack that already automates much of the routine work. Your job is to make performance easy to understand for execs
- Generate insight, not just analysis. Break down revenue and margin performance into drivers - volume, mix, pricing, cohort behavior - and proactively tell us where growth is coming from, where it's leaking, and what to do next
- Keep the data foundation healthy. Manage the partnership with our central Data Engineering team to make sure the segment's core data models and pipelines support the analytics
- Sharpen the forecast. Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes
Skills
- 6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference — you've designed and shipped tests that changed business decisions
- Strong SQL and Python, and comfort working directly in large, imperfect datasets without a support team
- A track record of operating autonomously: scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision without close management
- Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language
- Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin
- Customer obsession: you instinctively ground analysis in how real practitioners and patients use the product, and treat understanding their behavior as the source of good decisions
- Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale
- Experience partnering with FP&A or strategic finance teams
- Experience building metric trees or driver-based performance frameworks
- Hands-on use of AI tools (LLMs, agents) in your analytics workflow
- Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI
- Experience mentoring or managing analysts
Benefits
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
- Flexible PTO.
- RRSP/401k match.
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products.
- Continuous learning opportunities to grow your skills and career.
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