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$250,000 – $330,000
Listed on Vercel’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Vercel seeks a staff-level machine learning scientist to architect and lead the company's consumption forecasting systems, which inform financial planning and infrastructure decisions across their platform. This role combines advanced modeling expertise—particularly in time-series and probabilistic forecasting—with technical leadership, requiring you to set ML standards, mentor senior data scientists, and partner directly with finance and engineering leadership.
Our summary, not Vercel’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 8+ years in machine learning, data science, or applied statistics at staff or principal level
- Hands-on expertise in advanced time-series forecasting and deep learning architectures for forecasting
- Experience architecting and productionizing ML systems at scale with production infrastructure
- Strong Python and SQL proficiency with large-scale billing and usage datasets
- Causal inference and experimentation design expertise
- Track record of technical leadership and mentoring senior data scientists
- Ability to define ambiguous problems autonomously and operate in fast-moving environments
Nice to have
- Background in capacity planning or cost modeling at scale
- Experience with Snowflake, Delta Lake, dbt, Airflow, feature stores, or MLOps tooling
- Prior experience as technical lead for a data science or ML team