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 zero-to-one product bets for 500M+ monthly active users.
Domain
Visual search and discovery platform / Recommendation Systems / Causal Inference
Deliverable
production ML models | product features
Required skills
Causal inference, Recommendation systems, Statistical methods, Python, SQL, Spark, Data analysis, Scientific rigor, Product sense
Preferred skills
Web-scale data experience, Cross-functional collaboration, Mentorship
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 teams; Mentor junior data scientists.
Seniority
Staff, hands-on IC with mentorship
