Lead Data Scientist, Fullscript

• 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 building metric trees or driver-based performance frameworks

Desirable

• 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
• 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