Staff Data Scientist, Financial Forecasting

Own and evolve the most critical financial forecasting systems, acting as the technical owner of the revenue forecasting stack and partnering with finance for planning and decision-making.
Model subscription dynamics and experimentation outcomes, accounting for cohort behavior, seasonality, lift, and noise across hundreds of quarterly experiments.
Lead root-cause analysis when forecasts diverge, quantify drivers of over- or under-performance, and communicate insights to senior leadership.
Advance the technical frontier with cohort-based forecasting, retention chaining, and causal impact modeling while maintaining interpretability.
Mentor data scientists across the organization, set rigorous standards for modeling, and build scalable forecasting tools and dashboards.
Balance model complexity with speed and explainability in a fast-changing product environment, delivering trusted, actionable results.