Machine Learning Data Scientist, Forecasting

Own the end-to-end forecasting lifecycle, from scoping and feature engineering to model deployment and monitoring. Develop statistical and machine learning models to forecast core metrics such as DAU/WAU, revenue, LTV, and profitability. Build scalable, interpretable forecasts and integrate them into planning processes, pricing, and operational decision-making. Create self-service forecasting tools and platforms that enable cross-functional teams to act on real-time predictions. Explore and evaluate emerging techniques (time-series, causal inference, Bayesian methods) and productionize robust solutions. Translate technical outputs into clear business recommendations and influence strategic decisions with stakeholders.