Staff Data Scientist, Trust and Safety

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

We are seeking a skilled Staff Data Scientist to enhance measurement on Trust and Safety within our organization. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and up-level our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop a basket of metrics to measure overall health of Pinterest Trust and Safety Platform 
• Develop a framework to quantify aggregated incurred harm for unsafe categories such as Adult Content, Self Harm, Misinformation, Hate Speech etc 
• Research and develop methodology to improve statistical power of existing metrics and experimentation 
• Drive launch review process, define launching criteria for Trust and Safety experiments 
• Adopt LLM and other state of art techniques to apply on Trust & Safety use cases 

What we’re looking for

• 10+ years …