Lead Data Scientist - Growth & Experimentation

About the role

You are the analytics owner for one of Fullscript's fastest-growing segments, shaping how data drives decisions at a critical inflection point. This role blends the strategic scope of a head of analytics with the hands-on autonomy of a senior individual contributor, requiring deep collaboration with the GM, Finance, Product, and Commercial leaders. You will own the experimentation engine that tests key business hypotheses, translating ambiguous questions into rigorous, actionable insight. A core responsibility is understanding real practitioner and patient behavior to inform where the business invests next and how we capture value. You will establish the segment's analytics vision, setting standards and growing the function over time as data becomes central to every decision. The work demands intellectual rigor and business curiosity, pairing causal inference with a commercial mindset to uncover true drivers of performance. You will translate complex findings into clear narratives that guide leadership action and move the organization forward.

Key facts

What you'll do

Design, run, and interpret growth experiments from hypothesis framing and test sizing through to result calling and decision recommendation.

Own the experimentation engine for the segment, applying rigorous methods such as power analysis, causal inference, and guardrail metrics in a fast-moving environment.

Build the reporting backbone and self-serve tooling that the segment relies on, evolving an AI-augmented reporting stack to automate routine work.

Make performance easy to understand for executives by distilling complex data into clear, concise narratives and actionable recommendations.

Break down revenue and margin performance into core drivers including volume, mix, pricing, and cohort behavior to identify sources of growth and leakage.

Proactively communicate where growth is coming from, where value is leaking, and what specific actions should be taken next.

Manage the partnership with central Data Engineering to ensure the segment's core data models and pipelines support analytics and forecasting needs.

Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes.

Own the core dashboards and data tools that enable the segment to operate with clarity and speed.

Sharpen forecasting models by incorporating operational and behavioral signals into financial planning processes.

Champion data quality and model health, ensuring the foundation used for analysis and experimentation remains reliable.

Translate technical findings into executive-grade communication that a GM can understand and act upon without ambiguity.

Identify opportunities to apply AI-augmented methods to streamline reporting, insight generation, and decision workflows.

Act as the primary analytics partner for the segment, aligning data strategy with commercial and product priorities.

Continuously learn and iterate on analytical approaches to keep pace with business evolution and emerging methods.

Requirements

6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference.

Demonstrated experience designing and shipping tests that changed business decisions through clear evidence.

Strong SQL and Python capabilities, with comfort working directly in large, imperfect datasets without a dedicated support team.

A track record of operating autonomously, scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision.

Executive-grade communication skills, able to walk a GM through why a metric moved and what should be done in plain language.

Strong business judgment, understanding how growth, product usage, and operational drivers connect to revenue and contribution margin.

Customer obsession, instinctively grounding analysis in how real practitioners and patients use the product.

Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale.

Nice to have

Experience partnering with FP&A or strategic finance teams on performance analysis and forecasting.

Experience building metric trees or driver-based performance frameworks to guide decision making.

Hands-on use of AI tools such as LLMs or agents within your analytics workflow.

Exposure to BI tools like Sigma, Looker, Tableau, or Power BI for building and exploring dashboards.

Experience mentoring or managing analysts to build and develop analytical talent.

Practical notes

Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow to