Staff Data Scientist, Forecasting-Finance
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Die Stelle
Own end-to-end forecasting for revenue and cancellations, spanning data pipelines, model components, validation logic, and automated delivery into planning and financial workflows.
Select, adapt, and maintain forecasting approaches per context, balancing accuracy, stability, interpretability, and operational cost.
Build and operate forecasting systems with backtesting, scheduled retraining, monitoring, and performance management to ensure reliability.
Collaborate with cross-functional stakeholders to translate complex data into actionable insights for growth and strategic decisions.
Trade off statistical rigor with engineering practicality and business constraints to design scalable production solutions.
Elevate data quality, reproducibility, and governance to keep forecasts reliable and decision-ready in a dynamic financial context.
Select, adapt, and maintain forecasting approaches per context, balancing accuracy, stability, interpretability, and operational cost.
Build and operate forecasting systems with backtesting, scheduled retraining, monitoring, and performance management to ensure reliability.
Collaborate with cross-functional stakeholders to translate complex data into actionable insights for growth and strategic decisions.
Trade off statistical rigor with engineering practicality and business constraints to design scalable production solutions.
Elevate data quality, reproducibility, and governance to keep forecasts reliable and decision-ready in a dynamic financial context.
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