Fullscript is hiring a Lead Data Scientist in Toronto!
Fullscript, a health technology platform serving practitioners and patients across North America, is hiring a Lead Data Scientist to act as the analytics owner for one of its fastest-growing business segments. The role blends the scope of a head of analytics with the independence of a senior individual contributor: you will work shoulder to shoulder with the segment's general manager and with Finance, Product, and Commercial leaders to shape where the business puts its next dollar. The company describes this as a foundational hire, meaning the person who fills it will define how analytics works in the segment and may build out the function over time. Experimentation sits at the center of the job — designing growth tests, sizing them properly, interpreting results through causal methods, and turning findings into decisions rather than dashboards alone. Alongside that, you would own the segment's reporting infrastructure, dig into revenue and margin drivers by volume, mix, pricing, and cohort, and coordinate with central Data Engineering to keep data models and pipelines sound. There is also a forecasting component in partnership with Strategic Finance. Fullscript is remote-first, with Ottawa, Toronto, or Calgary preferred, and offers flexible PTO, customizable benefits, RRSP/401k matching, and product discounts. No salary figure is published in the posting.
Key responsibilities
- Design, run, and interpret growth experiments with Product and Commercial partners, applying power analysis, causal inference, and guardrail metrics to reach defensible decisions
- Own the segment's core dashboards and self-serve reporting, refining an AI-augmented stack that already automates much of the routine work so executives can read performance quickly
- Decompose revenue and margin results into their underlying drivers — volume, mix, pricing, cohort behavior — and proactively surface where growth is coming from or leaking
- Partner with the central Data Engineering team to keep the segment's data models and pipelines fit for analytical use
- Support Strategic Finance with driver-based revenue forecasting that links operational signals to financial outcomes
- Set the analytical agenda for the segment, scoping ambiguous questions and prioritizing the roadmap independently, with room to grow the function over time
Key requirements
- Six or more years in data science, growth analytics, or quantitative business roles, with demonstrated depth in experimentation and causal inference and a record of tests that changed business decisions
- Strong SQL and Python, including the ability to work directly with large, messy datasets without dedicated support
- Proven autonomy: scoping open-ended questions, setting your own priorities, and carrying work through to a decision with minimal supervision
- Executive-level communication — able to explain in plain language why a metric moved and what should happen next
- Solid business judgment connecting growth, product usage, and operational drivers to revenue and contribution margin
- Customer obsession, grounding analysis in how practitioners and patients actually behave with the product
- Background in marketplace, eCommerce, SaaS, or healthcare businesses operating at scale
- Nice to have: partnership experience with FP&A or strategic finance, metric trees or driver-based frameworks, hands-on LLM or agent use in analytics workflows, BI tools such as Sigma, Looker, Tableau, or Power BI, and mentoring or managing analysts
- Seniority: Lead / senior individual contributor with head-of-analytics scope
- Work mode: Remote-first; Ottawa, Toronto, or Calgary preferred
- Key skills: SQL, Python, Experimentation design, Causal inference, Power analysis, Revenue and margin analysis, Driver-based forecasting, Dashboarding and self-serve BI, Sigma, Looker, Tableau, Power BI, LLM and agent tooling, Data modeling collaboration, Executive communication
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