Staff Data Scientist, Monetization

Job Description

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 . Understanding and improving how we deliver and optimize ads to Pinners is fundamental to Pinterest’s long-term success. We’re looking for a data scientist to join our team in pushing the boundaries in ads delivery and optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery. What you’ll do: We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest. In this role, you will: Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future. Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis. Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office. Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds. Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation. Leverage AI to seek faster execution (i.e. draft, prototype, outline) and

Required Skills