Staff Data Scientist, Forecasting

What you’ll do

• Be the technical lead for the forecasting team . Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
• Lead the full modeling lifecycle end to end : problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring / drift detection, and explainability.
• Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training / inference today and the scalability needed for the next generation of models.
• Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
• Drive broader time‑series impact beyond point forecasts —e.g., anomaly detection, automated root‑cause analysis, campaign / channel attribution, and early‑warning signals for business health.
• Embed forecasting into the business. Partner with BizOps / Finance and product teams to integrate forecasts and insights into operational rhythms,  executive decision-making, and strategic planning.
• Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.

What we’re looking for

Relocation Statement :

In-Office Requirement Statement :

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