# Staff Applied Scientist, Financial Forecasting

Hiring organization: [Vercel](https://career.thegoodapps.co/organizations/vercel)

Canonical page: https://career.thegoodapps.co/jobs/36eca151-d396-464d-a62d-2497070da068

Listed on Vercel's own careers site. Applications go to them directly.

- Seniority: Staff
- Location: New York, NY
- Salary: 250000 – 330000 USD per year

## Summary

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._

## Skills named

Apache Airflow, Deep Learning, Dialectical Behavior Therapy (DBT), MLOps, Python, Snowflake, SQL

## 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

Apply on Vercel's site: https://job-boards.greenhouse.io/vercel/jobs/5973206004