Senior Data Scientist, Trust & Safety and Content Quality
Core
Design and build sampling frameworks, data aggregations, and measurement methodologies to track Trust & Safety policy violations and measure content quality across Pinterest's platform.
Role type
Senior IC data scientist (Trust & Safety & Content Quality)
Builds
Sampling frameworks, data pipelines, offline dashboards, and online production workflows for safety monitoring and content quality evaluation.
Domain
Social media platform safety, content moderation, statistical measurement
Deliverable
production ML models | dashboards & analysis
Required skills
statistical methods, sampling techniques, machine learning, deep learning, Python, SQL, Spark, data pipeline design, LLM prompt engineering, instrumentation, experimentation design
Preferred skills
platform safety experience, adversarial testing, responsible data measurement, multimodal data interpretation, AI-assisted workflow optimization
Technologies
PyTorch, TensorFlow, scikit-learn, Python, SQL, Spark
Responsibilities
Design ML-assisted sampling techniques to measure unsafe content prevalence; build large-scale data pipelines for safety labeling; orchestrate offline dashboards and online workflows; translate safety policies into LLM prompts; define high-quality content standards; analyze content distribution funnels; develop link quality evaluation methodologies; design reusable tooling for metrics monitoring.
Seniority
Senior, hands-on IC