# Staff Data Scientist, Finance & Business Ops

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $164,695-$339,078 USD
**Category**: Finance
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8036273?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4bf85491-428

## Description

Pinterest is seeking an experienced Staff Data Scientist to join its Finance & Business Operations team. This is a hybrid data-science/applied-AI/product-engineering role inside Pinterest's CFO organisation.

The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve.

Responsibilities:

- Own forecasting tooling end to end. Build and maintain the team's primary forecasting workbench , from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts.

- Ship product, not just analysis. Design and build user-facing features: chart and visualisation work, guided onboarding, history/audit views, region and time-grain filtering, performance optimisation, and polish and bug-fixing.

- Drive AI adoption across Finance & BizOps. Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users.

- Stay ahead of the AI capability curve. Continuously read and interpret AI research and translate it into a grounded point of view on what will be possible in the next 6–12 months.

- Set AI strategy and guide executives. Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritise where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on.

- Deliver recurring finance analytics. Support core CFO-org deliverables: budget-vs-actuals, variance commentary, executive slide/deck preparation, and metric diagnostics.

- Partner broadly and communicate clearly. Work directly with Finance, BizOps, Monetisation, and platform/IT stakeholders.

- Set technical and analytical standards. Raise the bar on rigor, make pragmatic build-vs-buy and scope calls, and create artifacts and documentation.

Requirements:

- Data science & forecasting: Strong applied background in time-series forecasting and quantitative analysis.

- Fluency in turning messy business questions into well-defined metrics and diagnostics.

- Advanced SQL and proficiency in a primary analysis language (Python strongly preferred).

- Engineering & tool-building: Demonstrated ability to build and ship internal web tools.

- Applied AI: Hands-on experience applying modern AI/LLM tooling to real workflows.

- AI foresight & strategy: Demonstrated habit of staying current with AI research and the broader landscape.

- Executive influence: Proven ability to advise and guide senior leaders and executives on technical and AI strategy.

- Scope, ownership & communication: Staff-level autonomy, excellent written and verbal communication.

Benefits:

- Salary range: $164,695-$339,078 USD

- Equity eligibility

#LI-NM4 #LI-REMOTE

## Skills

### Required
- time-series forecasting
- quantitative analysis
- Python
- SQL
- web development
- AI/ML
- data visualisation

### Nice to have
- JavaScript/TypeScript
- modern UI frameworks
- Superset
- Tableau
- Looker

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8036273?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)