Machine Learning Data Scientist, Forecasting
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The role
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.
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.
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