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 you'll do:
- 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 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.
What we're looking for:
- 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.
What skills are ideal but not required?
-
- Experience in building production ML systems
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're 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 time per week and therefore needs to be in a commutable distance from one of the following offices. Seattle, San Francisco or Palo Alto
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$163,064—$335,720 USD
Our Commitment to Inclusion:
Top Skills
Pinterest Seattle, Washington, USA Office
1730 Minor Ave, Seattle, Washington, United States, 98101
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
