Data Science Manager - Growth, Acquisition and User Lifecycle

at  Pinterest

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.

WHAT SKILLS ARE IDEAL BUT NOT REQUIRED?

• Experience working in a Growth function, in particular experience with SEO, new user activation, user retention and/or notifications.
• Experience working on a daily/weekly use app with business goals of increasing DAU/WAU/MAU

• Build, inspire and grow a high performance team of data scientists that are thought partners to the teams that are responsible for key drivers of Pinterest’s growth and user retention: User acquisition, Social Experiences, New User Experience, and Notifications.
• Work with product and eng partners help identify and answer important “why” questions. Lead the team to structure ambiguous business challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Drive data-driven decision-making aligned with the organization’s strategic objectives.
• Influence and empower Engineering and Product teams outside of Growth to improve the new user experience and reduce user churn through compelling insights and measurement frameworks.
• Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
• Mentor data scientists to develop their careers and achieve their goals, from early career through senior level.
• Be a champion for building highly talented and diverse teams with an inclusive culture.