Staff Data Scientist, Curation Ecosystem
Core
Develop methods and models to explain content promotion decisions and drive product innovation in Pinterest's Curation ecosystem.
Role type
Staff Data Scientist (Curation & Recommendation Systems)
Builds
Recommendation system outputs, product interfaces, and strategic insights for the Curation ecosystem.
Domain
Social Media / Visual Search / Recommendation Systems
Required skills
Causal inference, Recommendation systems, Statistical methods, Scientific rigor, Quantitative programming, Data manipulation
Preferred skills
Web-scale data analysis, Product sense, Cross-functional collaboration, Mentorship
Technologies
Python, R, SQL, Spark
Responsibilities
Quantify opportunities and Pinner needs around boards, trends, and collages; Develop robust frameworks combining online and offline methods to understand recommendation outputs; Partner with Product, Engineering, Design, and Research to build next experiences; Mentor junior data scientists.
Seniority
Staff, hands-on IC with mentorship
