Lead Data Scientist (Growth & Experimentation)

• 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

Benefits

• Reach your wellness goals with our benefits plan, discount on practitioner-grade supplements, and company-wide health and wellness programs
• Our dedicated DEIB Council ensures we advocate for equality and encourage positive change within ourselves and the community. We value the unique qualities and perspectives of our team
• You choose your own office with our Wherever You Work Well approach. Whether that’s in-person or at home, teams aren’t defined by geography. Output, not location, is our success metric so we also offer a flexible approach to your working hours, vacation, and personal days
• We empower each other to grow with lunch and learns, lean in circles, show-and-tells, and more. Everyone has something to learn and something to teach so we pride ourselves on growing as a team
• We’re not just a company — we’re a community. Team lunches, weekly town halls, birthdays, parties, and clubs are an essential part of our community and culture
• The health of our people relies on the health of our planet. We are certified carbon-neutral, taking our first big step in creating a more sustainable future- 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