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.

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.

Senior Data Scientist, Revenue and Financial Performance

Key skills