Staff Data Scientist, Forecasting

Pinterest is a visual discovery engine where millions of people find creative ideas, dream about new possibilities, and plan for memories. The company is on a mission to bring everyone the inspiration to create a life they love.

• Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
• 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. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
• Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
• Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
• Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
• Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.

• 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data.
• A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making.
• Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
• Expertise in at least one scripting language (ideally Python).
• Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
• Business acumen and ownership mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
• Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
• Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.

Base salary range: $164,695—$339,078 USD. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

This role is remote within the US, with in-person collaboration 1-2 times/quarter. It can be situated anywhere in the country. This position is not eligible for relocation assistance.

Apply through the Pinterest careers page for this role.