Pinterest-posted 9 months ago
$163,064 - $335,720/Yr
Full-time • Manager
San Francisco, CA
Professional, Scientific, and Technical Services

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.

  • Build, inspire and grow a high performance team of data scientists that are thought partners to the team that builds machine learning models that powers Pinterest's ads stack.
  • Strong ML knowledge with a deep understanding of how models drive business.
  • Work with product and engineering partners to help identify and answer important 'why and how' questions.
  • Lead the team to structure ambiguous technical 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.
  • Communicate complex findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
  • Be a champion for building highly talented and diverse teams with an inclusive culture.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  • Experience in managing small teams of highly technical scientists, fostering a culture of innovation, collaboration, and continuous improvement.
  • Hands on experience as a data scientist, research scientist, applied scientist, or machine learning engineer in a technology company.
  • Effective written and verbal communication skills.
  • Experience with hypothesis driven product development.
  • Experience being a thought partner to improve decision quality and able to influence with expertise.
  • Industrial experience with ads product and metrics.
  • Experience in building production ML systems.
  • Equity eligibility.
  • Base salary range of $163,064—$335,720 USD.
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