Staff Data Scientist, Finance & Business Ops

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

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