Staff Applied Scientist, Financial Forecasting

Tech Stack

Responsibilities

• Architect and own Vercel's end-to-end consumption forecasting ML systems across compute, bandwidth, edge functions, and storage.
• Design and productionize advanced ML approaches for multi-horizon time-series forecasting, including deep learning-based and probabilistic methods.
• Build ML infrastructure and tooling for backtesting, monitoring, drift detection, and forecast explainability.
• Develop scenario simulation and causal inference frameworks to evaluate pricing changes, packaging adjustments, and product launches.
• Partner directly with Finance, Infrastructure, Product, and GTM teams to align forecasting models with business planning and cost optimization.

Benefits

• Equity
• Remote Work

Culture

Requirements