Advance the efficiency of the Pinterest Marketplace by connecting Pinners' aspirations with partner products.
Requirements
knowledge in auction theory and econometrics; excellent data analysis skills.
Strong software engineering and mathematical skills; proficient with statistical methods.
Practical understanding of machine learning algorithms and techniques.
Ads domain knowledge a major plus.
Responsibilities
Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest.
Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes.
Define and implement experiments to understand long term Marketplace effects.
Develop strategies to balance long and short term business objectives.
Application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings.
Other
MS or PhD degree in Computer Science, Economics, Statistics or related field.
2+ years of industry experience.
Impact‑oriented, strong ownership, clear communicator, and collaborative.
This position is not eligible for relocation assistance.
