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, curation interfaces, and product strategies for 500M+ monthly active users.
Domain
Social Media / Visual Search / Recommendation Systems
Deliverable
production ML models
Required skills
Causal inference, Recommendation systems, Statistical methods, Python, SQL, Spark, Data analysis
Preferred skills
Product sense, Scientific rigor, Cross-functional collaboration, Mentoring
Technologies
Python, R, SQL, Spark
Responsibilities
Quantify opportunities and Pinner needs around boards and trends; Develop frameworks to understand recommendation outputs; Partner with Product, Engineering, and Design to build next experiences; Mentor junior data scientists.
Seniority
Staff, hands-on IC with mentorship
