Staff Data Scientist, Forecasting @Pinterest

Overview

The role of Staff Data Scientist, Forecasting at Pinterest involves leading the forecasting team, developing and implementing forecasting models for key company metrics, and translating forecasts into actionable insights for senior leadership. The position emphasizes AI collaboration and requires a strong background in time-series modeling.

Key Responsibilities

• Lead and own the strategy for forecasting models of key company metrics, ensuring accuracy and interpretability.
• Oversee the full modeling lifecycle: problem framing, feature engineering, model development, deployment, and monitoring.
• Define forecasting technical vision and partner with Engineering for platform advancements.
• Present forecasts and scenario analyses to senior leadership.
• Drive broader time-series impact, including anomaly detection and business health signals.
• Collaborate with BizOps/Finance and product teams to integrate insights into decision-making.
• Mentor at least two data scientists, fostering technical excellence and execution quality.

Requirements

• 8+ years of experience in building and deploying production time-series/forecasting models.
• Proven track record of delivering well-calibrated forecasting systems.
• Strong knowledge in time-series modeling and statistics; advanced degree preferred.
• Proficiency in at least one scripting language (preferably Python) and strong SQL skills.
• Ability to communicate complex analyses into clear narratives for executive audiences.
• Demonstrated technical leadership with impactful project management.

Benefits

Salary range: $164,695 — $339,078 USD. Eligible for equity. Further details on culture and benefits available on the company’s website.

Location

This role can be situated anywhere in the United States, requiring occasional in-office collaboration.

How to Apply

Interested candidates should apply through the provided application link.