Data Scientist, Transparency & Observability - Trust and Safety
Core
Build scalable metrics, monitoring systems, and analytical solutions to measure Trust & Safety enforcement performance and ensure data quality for internal decision-making and external transparency reporting.
Role type
Senior IC data scientist (observability & metrics)
Builds
dashboards & analysis
Domain
Internet platform safety + data engineering
Deliverable
dashboards & analysis
Required skills
SQL, Python, large-scale data platforms (Hive/Spark), data quality monitoring, metric design, anomaly detection, root cause analysis
Preferred skills
Trust & Safety domain knowledge, regulatory reporting (DSA), causal inference, time-series analysis, cross-functional collaboration
Technologies
Hive, Spark, Python, SQL
Responsibilities
Design and develop metrics measuring Trust & Safety enforcement; Build dashboards and monitoring solutions; Develop automated anomaly detection and alerting; Investigate data issues and improve data quality processes; Partner with engineering to strengthen data reliability; Create consistent approaches to transparency reporting.
Seniority
Senior, hands-on IC
