Machine Learning Data Scientist, Forecasting
职位介绍
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.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
或
已有账户？
登录相似职位
其他可能适合您的职位。