Lead Data Scientist

About Fullscript We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care. That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment. We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better. This is your invitation. Bring your ideas, your grit, and your care for people. Join us and shape the future of care. The Opportunity We're hiring a Lead Data Scientist to be the analytics owner for one of Fullscript's fastest-growing segments. This is a rare shape of role: the scope of a head of analytics with the autonomy of a senior IC. You'll partner directly with the GM, Finance, Product and Commercial leaders to answer the questions that determine where the business invests next. That starts with a deep understanding of who our customers are and how they actually use the product, and it runs through owning the experimentation engine that tests our bets. The focus for this role is around using analytics to drive performance: understanding results, designing/executing experiments, and telling leadership what's true and what to do about it. This role is a foundational hire - you'll shape how analytics operates in this segment, with the opportunity to grow the function over time. What you'll do 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. What you bring to the table 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 Bonus if you have 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 What we can offer you Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role. Flexible PTO and competitive pay, because work-life balance matters RRSP/401k match and stock options to invest in your future 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 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 together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door. What to Know Before You Apply We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly. Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [emailprotected] . All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws. We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S. Learn More @fullscriptHQ on instagram @fullscript on YouTube FullScript on LinkedIn We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.