About The Role

Join Fullscript as a Lead Data Scientist, where you'll be the analytics owner for one of our fastest-growing segments. This unique role combines the scope of a head of analytics with the autonomy of a senior individual contributor. You'll partner directly with key leaders across the organization to drive performance through data analysis and experimentation. As a foundational hire, you'll have the opportunity to shape the analytics function in this segment and grow the team over time.

Lead the analytics efforts for one of Fullscript's fastest-growing segments, partnering with key stakeholders to drive business decisions.
Own the experimentation engine, designing, running, and analyzing growth experiments to inform strategic investments.
Build and maintain the reporting backbone, evolving an AI-augmented reporting stack to make performance easy to understand for executives.
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
Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin
Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale
Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language
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
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