Staff Applied Scientist, Financial Forecasting - Vercel

About Vercel

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

About the Role

We're seeking a Staff Machine Learning Data Scientist to lead consumption forecasting at Vercel. This is a staff-level technical leadership role: you'll architect the ML systems and modeling approach behind forecasting that powers financial planning, infrastructure investment, and executive decision-making.

What You Will Do

• Architect and own Vercel's end-to-end consumption forecasting ML systems across compute, bandwidth, edge functions, storage, and emerging products.
• Design and productionize advanced ML approaches for time-series forecasting (deep learning, probabilistic/Bayesian methods, hierarchical architectures).
• Develop multi-horizon forecasting systems, from operational to long-range planning.
• Build ML infrastructure for backtesting, monitoring, drift detection, and forecast explainability.
• Develop scenario simulation and causal inference frameworks to evaluate pricing and product launches.
• Partner with Finance leadership on board-level reporting and Infrastructure Engineering on capacity planning.
• Set technical standards for ML methodology and mentor senior data scientists and ML engineers.

About You

• 8+ years of experience in machine learning, data science, or applied statistics at a staff or principal level.
• Deep, hands-on expertise in advanced time-series forecasting and ML modeling techniques.
• Proven experience architecting and productionizing ML systems at scale.
• Strong Python and SQL proficiency with experience in causal inference and experimentation.
• Ability to translate advanced ML concepts into decision-ready insights for non-technical stakeholders.
• Experience in cloud infrastructure, developer tools, or consumption-based revenue models.

Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Mentorship and professional development support.
• Flexible Time Off.
• Gear and WFH budget to outfit your space.