Staff Data Scientist, Trust and Safety

Role overview Lead data science work that helps a large consumer platform identify and reduce safety and content quality risks earlier. The role combines quantitative analysis, experimentation, machine learning, and forecasting to move teams from reacting to reported harm toward using predictive indicators to guide product decisions. You’ll work closely with product, engineering, design, research, analytics, and data teams, translating rigorous analysis into practical improvements.

Responsibilities - Build a detailed understanding of safety systems and quantify opportunities and risks across the user journey. - Lead data science projects addressing trust and safety at different stages of the product funnel. - Design and productionize scalable machine learning and evaluation approaches, including measurement, recommendations, and forecasting. - Improve instrumentation and experimentation practices in partnership with product engineering teams. - Apply statistical methods to product development and improvement, grounded in user behavior. - Prototype analysis pipelines, develop knowledge of data structures and metrics, and advocate for needed data improvements. - Communicate findings and collaborate with product managers, engineers, designers, and researchers to shape product work.

Requirements - At least 10 years analyzing data in a fast-paced, data-driven environment and applying scientific methods to real-world problems. - The source also calls for a bachelor’s degree in computer science or a related field, or equivalent experience. - Cross-functional collaboration and the ability to turn insights into action. - Strong communication and influencing skills.

Benefits and work setup - Remote within the country, with in-office collaboration required 1–2 times per quarter. - Relocation assistance is not available. - US base salary range: $164,695–$339,078, with equity eligibility.