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Lead Data Scientist — Growth & Experimentation

FullscriptToronto, ONData & Analytics
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Salary
Not listed
Job type
Full-time
Posted
17 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

Fullscript is hiring a Lead Data Scientist for a growth and experimentation role based in Toronto, Ontario. This professional will act as the analytics owner for one of the company's fastest-growing segments, partnering with executive leadership to guide strategic investments.

Key Responsibilities

Own the experimentation lifecycle by partnering with Product and Commercial teams to design, execute, and interpret growth tests.
Bring statistical rigor, including power analysis, causal inference, and guardrail metrics, to fast-moving business initiatives.
Construct and evolve the reporting backbone, utilizing an AI-augmented reporting stack to maintain core dashboards and self-serve tooling.
Dissect revenue and margin performance into core drivers such as volume, mix, pricing, and cohort behavior to provide actionable insights.
Maintain the health of the data foundation by coordinating with the central Data Engineering team for core data models and pipelines.
Partner with Strategic Finance to support driver-based revenue forecasting analytics that connect operational signals to financial results.

Requirements

Bring six or more years of professional experience in data science, growth analytics, or quantitative business roles.
Demonstrate deep expertise in experimentation and causal inference.
Possess strong proficiency in SQL and Python for working with large, imperfect datasets.
Demonstrate a proven history of autonomous operation, including scoping ambiguous questions and prioritizing a roadmap independently.
Offer executive-grade communication skills capable of explaining metric shifts and strategy in plain language.
Exhibit strong business judgment connecting growth, product usage, and operational drivers to revenue and contribution margin.
Maintain a customer-obsessed mindset rooted in understanding how real practitioners and patients utilize the product.
Bring industry background within marketplace, eCommerce, SaaS, or healthcare businesses operating at scale.

Nice to Have

Prior experience partnering directly with FP&A or strategic finance teams.
Experience constructing metric trees or driver-based performance frameworks.
Hands-on familiarity using AI tools like LLMs and agents within an analytics workflow.
Exposure to business intelligence platforms such as Sigma, Looker, Tableau, or Power BI.
Previous experience mentoring or managing analysts.

Skills and Tools

Python
SQL
Statistical experimentation and causal inference methodologies
Business intelligence platforms (Sigma, Looker, Tableau, Power BI)
AI tools and LLMs for analytics workflows

Salary and Benefits

Competitive compensation packages alongside RRSP or 401(k) matching programs.
Premium benefits package featuring customizable coverage, paramedical services, and a Health Spending Account (HSA).
Flexible paid time off policies designed to support work-life balance.
Discounts on Fullscript wellness products.
Continuous learning and career development opportunities.

About the Company

Fullscript is an industry-leading health technology company founded in 2011 with the mission to help people get better. The platform empowers over 125,000 practitioners with clinical insights, lab interpretations, patient analytics, education, and supplement access, while supporting more than 10 million patients in staying connected to their care plans. The organization fosters a collaborative environment focused on impact, curiosity, and putting people first.

How to Apply

Interested candidates should submit their application directly through the official Fullscript careers page to ensure it reaches the hiring team.

Skills and tech stack

PythonSQL

Questions candidates ask

Where is this job located?

This role is based in Toronto, Ontario, though Fullscript operates with a remote-first flexibility approach where Ottawa, Toronto, or Calgary are preferred locations.

How many years of experience are required?

Candidates must have at least 6+ years of experience in data science, growth analytics, or quantitative business roles.

What technical programming languages are required?

The position requires strong proficiency in both SQL and Python.

What are the primary focus areas for this role?

The core focus areas include owning the experimentation engine, building automated reporting backbones, generating actionable revenue and margin insights, and supporting financial forecasting.

How should I submit my application?

Applications must be submitted directly through the official Fullscript careers website.

Ready to apply?

The application is on the official Fullscript careers page.

Apply on company site