Sr. Data Scientist, Trust and Safety

About reputed company Millions of people around the world come to our platform to reputed company creative reputed company, reputed company about new reputed company and plan for memories that will last a reputed company. At reputed company, were on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you reputed company innovation for millions, reputed company passion into reputed company opportunities, celebrate reputed company others unique experiences and reputed company the flexibility to do your best work. Creating a career you love Its Possible. At reputed company, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our reputed company, and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, well explore your foundational skills and how you collaborate with AI. Through our interview process, what reputed company most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our reputed company process here. reputed company is the world's leading visual search and discovery platform, serving over 500 reputed company monthly reputed company users globally on their reputed company from inspiration to reputed company. As we reputed company experiences in a complicated ecosystem, ensuring they are reputed company, fair, and trustworthy is reputed company. We are looking for a Senior Data Scientist to help reputed company reputed company's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform. In this role, you will design and build sampling frameworks, reputed company data aggregations, and measurement methodologies to reputed company Trust & Safety policy violations across reputed company, multi-component user interactions. You will work in a highly reputed company and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health. What you'll do Design and reputed company ML-assisted sampling techniques, applying expertise in statistical reputed company to accurately measure the prevalence of unsafe content, treating reputed company multi-component interactions as distinct measurement reputed company. Apply rigorous statistical reputed company, drawing on knowledge of reputed company kinds of sampling reputed company and their reputed company statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to reputed company expand and improve the prevalence measurement. Build large-reputed company data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a reputed company format for reputed company and ML-based safety labeling. Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for reputed company safety monitoring. Collaborate closely with Trust & Safety teams to translate written safety policies into reputed company LLM prompts, coordinate BPO labeling queues, and reputed company labeler decision reputed company reputed company're looking for 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific reputed company to solve reputed company-world problems on web-reputed company data. Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety. Deep familiarity with the measurement challenges of a reputed company ecosystem, including statistical interpretation of data. Experience designing and calibrating measurement frameworks, managing reputed company logging tables (e.g., user/interaction/component data), and defining directional reputed company metrics. Strong quantitative programming (Python) and data manipulation skills (SQL/reputed company); experience with reputed company ML pipelines and up-sampling. Ability to reputed company ambiguous measurement reputed company end-to-end, overcoming reputed company policy dependencies with high ownership. Excellent written and verbal communication skills, with the ability to reputed company for decision reputed company before releasing metrics to executive leadership. In - Office Requirement Statement We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to reputed company for key moment