Canada onlyAt Fullscript, we’re not just changing healthcare—we’re making it whole.
We help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.
Healthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.
We’re building a better way—one where healthcare is connected, complete, and built for impact.
We’re looking for a Senior Data Scientist to join our dynamic data team. In this role, you’ll leverage advanced analytics and machine learning to drive strategic decisions and enhance our product offerings. Collaborating closely with cross-functional teams, you’ll transform complex data into actionable insights, directly influencing Fullscript’s growth and the success of our practitioners and their patients.
What You'll Do:
- Advanced Analytics Modelling: Develop and implement sophisticated statistical models and machine learning algorithms to analyze large datasets, uncover trends, and predict future behaviors.
- Experimentation Causal Inference: Design, conduct, and analyze A/B tests and other experiments to evaluate the impact of product changes and new features.
- Cross-Functional Collaboration: Partner with Product Managers, Engineers, and other stakeholders to identify data-driven opportunities and influence product and business strategies. 
- Data Pipeline Development: Work alongside Analytic Engineers to design and optimize data pipelines, ensuring efficient data collection, processing, and availability.
- Mentorship: Guide and mentor junior data scientists and analysts, fostering a culture of continuous learning and improvement within the team. 
- Stakeholder Communication: Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
What You Bring:
- 5+ years of experience in data science, preferably in product-led, high-growth environments (SaaS or eCommerce a bonus).
- Analytical Expertise: Strong foundation in experimental design, causal inference, and statistical analysis.
- Problem-Solving: Ability to tackle ambiguous problems, identify key insights, and drive actionable recommendations.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences.
- Curiosity and humility, you’re excited to learn and even more excited to teach.
- Proficiency in SQL and programming languages like Python or R. 
- Experience with machine learning frameworks (e.g., scikit-learn, XGBoost or similar) and statistical modeling techniques.
- Familiarity with data visualization tools and techniques.
- Industry Experience: Background in health tech, integrative medicine, or related fields.
- Tool Proficiency: Experience with BI tools like Looker or Tableau, and familiarity with cloud platforms such as Snowflake or AWS.
- Advanced Techniques: Knowledge of deep learning, natural language processing, or other advanced machine learning methodologies.
Technical Skills:
Bonus points you have:
What We Offer:
- Flexible PTO competitive pay—rest fuels performance.
- RRSP match stock options—invest in your future.
- Customizable benefits—flexible coverage, paramedical services, and an HSA.
- Fullscript discounts—save on wellness products.
- Continuous learning—training budget + company-wide initiatives.
- Wherever You Work Well—hybrid and remote flexibility.
Why Fullscript?
Great work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:
⬦ Values innovation—we push boundaries and always look for better ways.
⬦ Supports growth—through learning, mentorship, and meaningful work.
⬦ Cares about balance—with flexible work options and time off when you need it.
📌 Apply now—let’s build the future of healthcare, together.
Fullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email accommodations@fullscript.com for support.
Before joining the team, all candidates who receive and accept an offer will complete a background check.
We use AI tools to support parts of our hiring process, like screening and reviewing responses. Final decisions are always made by people. This process complies with privacy and employment laws across Canada and the U.S.
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🔥 IN THE NEWS: Fullscript acquires Rupa Health
United States only
