Sr. Data Scientist, Trust and Safety

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 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 ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact 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 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 worlds 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 Pinterests 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 youll 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 the 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

What were looking for:

• 5 years of experience analyzing data in a fast-paced data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale 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 complex ecosystem including statistical interpretation of data.
• Experience designing and calibrating measurement frameworks managing complex logging tables (e.g. user/interaction/component data) and defining directional success metrics.
• Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling.
• Ability to drive ambiguous measurement projects end-to-end overcoming unstructured policy dependencies with high ownership.
• Excellent written and verbal communication skills with the ability to advocate for decision quality before releasing metrics to executive leadership.

In - Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement

• This position is not eligible for relocation assistance.

#LI-NM4