Senior Data Scientist (Revenue & Financial Performance)

📋 Description

• 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).

🎯 Requirements

• 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.

🎁 Benefits

• 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.