Principal Data Scientist (Safety)

Join our Data Science & Analytics organization as a Principal Data Scientist focused on safety. In this role, you will apply your expertise in data science, statistics, and causal inference to improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. You will collaborate closely with various teams, establish robust measurement methodologies, develop ground truth datasets, and communicate strategic insights to leadership. This is a critical opportunity to build innovative detection systems and prove the impact of our safety efforts.

- Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform. - Develop and validate comprehensive ground truth datasets for harmful user-generated content and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies. - Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development.

- Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content - 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - 10+ years of industry experience in data science, economics, analytics, or machine learning engineering - Ability to apply creative first-principles reasoning to solve ambiguous problems - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields - Knowledge of ML and Deep Learning either via formal training or industry experience