Staff Applied Scientist, Financial Forecasting

📋 Description

• Lead consumption forecasting at Vercel; architect ML systems behind forecasting for financial
• Define forecasting methodology from first principles and set technical direction for data
• Collaborate with Finance, Infrastructure, Product, and GTM to model adoption, pricing, and usage
• Set standards for ML methodology, experimentation, and measurement across Data; mentor senior ICs.
• Build end-to-end forecasting systems spanning compute, bandwidth, edge, storage, and new products.
• Develop scenario simulation and causal inference to evaluate product changes before shipping.

🎯 Requirements

• 8+ years in ML/data science/applied statistics with staff/principal level experience.
• Deep expertise in time-series forecasting (deep learning, probabilistic/Bayesian, hierarchical).
• Production experience: training, serving, monitoring, retraining ML models at scale.
• Strong Python and SQL; experience with large-scale datasets, causal inference, experimentation
• Ability to translate ML concepts into decision-ready insights for non-technical stakeholders.
• Proven track record setting technical direction and mentoring senior ICs; autonomous in fast-moving

🎁 Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Mentorship and learning opportunities; support for events to grow skills.
• Flexible Time Off; work-from-home budget to outfit space.