Senior Data Scientist (Revenue & Financial Performance)

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. We’re looking for a Senior Data Scientist, Revenue & Financial Performance to partner closely with Finance and senior leadership to drive clarity, accountability, and insight into Fullscript’s revenue and margin performance. This role sits within our Analytics & Data Science organization and works directly with Finance and executive stakeholders to understand, explain, and forecast business performance. You will be responsible for analyzing revenue trends and their underlying drivers, improving performance transparency, and supporting investment and planning decisions with rigorous, structured analysis. This is a highly visible, executive-facing role for someone who combines deep analytical skill with strong business judgment and storytelling ability. What You’ll Do

Partner directly with Finance and executive leaders to analyze and explain revenue performance and margin trends Decompose revenue and contribution performance into underlying drivers (e.g., volume, conversion, pricing, mix, cohort behavior) Build driver-based frameworks and performance models that improve forecasting, planning, and business accountability Develop scalable performance monitoring tools and structured reporting frameworks Support capital allocation and investment decisions through scenario modeling and ROI analysis Translate complex analyses into clear, executive-ready narratives that explain not just what happened, but why (and what to do next) Operate independently in a high-trust, high-autonomy environment What You Bring

5+ years of experience in data science, revenue analytics, financial analytics, or quantitative business roles Strong proficiency in SQL and Python or R, with comfort working directly in large analytical datasets Experience analyzing revenue, margin, or financial performance in SaaS, eCommerce, marketplace, healthcare, or scaled digital businesses Experience building driver-based models, forecasting frameworks, and structured performance analyses Strong understanding of how growth, product usage, and operational drivers connect to revenue and contribution margin Experience influencing senior stakeholders through clear communication and structured thinking Comfort operating with autonomy in a fast-moving environment Bonus if you have:

Experience working closely with FP&A or strategic finance teams Experience building metric trees or driver-based performance frameworks Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI Background in forecasting, scenario modeling, or advanced financial modeling What We Can Offer You

Flexible PTO & competitive pay RRSP match (CAD) & stock options Customizable benefits — flexible coverage, paramedical services, and an HSA Flexible benefits package and additional perks Employee discount on Fullscript catalog of products for family & friends Continuous learning — training budget + company-wide initiatives Wherever You Work Well — hybrid and remote flexibility 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. We’re not able to respond to individual messages about open roles on email or social channels. Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com. 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

www.fullscript.com @fullscriptHQ on instagram Let’s make healthcare whole We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript’s total rewards package. Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.

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