Senior Data Scientist, Trust & Safety and Content Quality

Pinterest · Toronto, ON, CAsenior

In short

▸Diseñar métodos estadísticos para medir contenido inseguro en una plataforma global con 500M+ usuarios.
▸Trabajar con IA, datos masivos y equipos multidisciplinarios para mejorar la seguridad y calidad del contenido.
▸Destacado: influencia directa en métricas de salud de la plataforma y decisiones ejecutivas.

Fluency in English is required for collaboration across global teams.

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What they ask for

✓Experiencia sólida en métodos estadísticos y muestreo para medición de prevalencia.
✓Habilidades avanzadas en desarrollo de pipelines de datos a gran escala.
✓Experiencia colaborando con equipos de ML, operaciones de seguridad y product managers.
✓Capacidad para traducir políticas de seguridad en prompts de LLM y coordinar evaluaciones de calidad.
✓Conocimiento profundo del funnel de distribución de contenido y ranking.
✓Habilidad para comunicar enfoques y resultados con claridad en entrevistas y revisiones.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Machine LearningStatistical MethodsSampling TechniquesLarge-scale Data PipelinesPinner-generated QueriesSystem ResponsesRecommended Pin ImagesHuman and ML-based Safety LabeOffline DashboardsOnline Production Workflows

Who should you write to at Pinterest?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re 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 ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters 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 recruiting process here . Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest'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, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative 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 What you'll do: • Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units. • Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper 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 further expand and improve prevalence measurement. • Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling. • Partner cross-functionally to orchestrate “Offline” dashboards and robust “Online” production workflows for continuous safety monitoring. • Collaborate closely with Trust & Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality. • Define and evangelize what constitutes high-quality content across Pinterest's surfaces, building rigorous, scalable statistical frameworks to measure and continuously monitor content quality at a platform level. • Analyze and model the end-to-end content distribution funnel to inform how high-quality content is selected, ranked, and surfaced to hundreds of millions of Pinners, creators, advertisers, and merchants.

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