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Pinterest

Staff Data Scientist, Forecasting

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hybrid staff full-time $164,695-$339,078 USD San Francisco, CA

First indexed 24 Jun 2026

Description

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact. We're looking for a Staff Data Scientist, Forecasting to own the strategy and implementation of forecasting models of key company metrics.

Responsibilities:

  • Be the technical lead for the forecasting team, owning the strategy and implementation of forecasting models
  • Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability
  • Set the forecasting technical vision, defining model architectures and standards, and partner with Engineering to shape the forecasting platform
  • Translate forecasts into decisions, presenting outputs, scenario analyses, and recommendation frameworks to senior leadership
  • Drive broader time-series impact beyond point forecasts
  • Embed forecasting into the business, partnering with BizOps/Finance and product teams
  • Lead and mentor a team of at least two data scientists

Requirements:

  • 8+ years of combined post-graduate academic and industry experience building and shipping production time-series/forecasting models
  • Bachelor's degree in a relevant field such as Computer Science or equivalent experience
  • A track record of delivering adjustable, well-calibrated, and explainable forecasting systems
  • Strong background in time-series modeling and applied statistics/econometrics
  • Expertise in at least one scripting language (ideally Python)
  • Strong SQL skills and experience building reliable data pipelines/workflows
  • Business acumen and ownership mindset
  • Excellent communication skills
  • Proven technical leadership

Benefits:

  • Base salary range: $164,695-$339,078 USD
  • Eligible for equity

Relocation:

  • This position is not eligible for relocation assistance
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/pinterest/jobs/8001932