Staff Data Scientist, Ads Product

Job Description

In this role, you'll be a pivotal individual contributor, shaping how Pinterest's Ads organization leverages data for strategic decision-making and operational excellence. You'll serve as a central expert, empowering our product, engineering, and business teams with accessible, reliable data and actionable insights.

What you'll do:

• Drive Ads Product Strategy across Pinterest: Leverage your strong business and product acumen to proactively identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives. You'll play a crucial role in ensuring data insights inform downstream ML applications and broader product improvements.
• Translate Complex Business Needs into Data Solutions: Partner closely with product, engineering, and business stakeholders to deeply understand their challenges. You will expertly translate ambiguous business questions into structured analytical problems, providing the 'why' and 'how' behind performance and identifying new opportunities.
• Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs. You will be responsible for ensuring consistently trustworthy and high-quality analyses that directly influence strategic and operational decisions.
• Be a Strategic Thought Partner: Bring proactive and influential product leadership into areas where data-driven decisions and insights are essential for success. This involves acting as a key advisor to Product Managers, Engineering leaders, and other cross-functional partners, anticipating future product needs, and identifying the most impactful questions that data can answer. You will be responsible for defining the analytical roadmap, translating high-level business problems into specific, actionable data initiatives, and guiding the team to execute them effectively to drive significant product and business outcomes.
• Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, expertly connecting revenue performance data with product actions and performance metrics to provide a holistic understanding of our business impact and growth drivers.
• Communicate for Impact: Articulate complex data findings, strategic insights, and recommendations clearly and concisely to both technical and non-technical senior stakeholders, influencing business strategy and outcomes.
• Elevate Data Science Practices: Act as a subject matter expert for the broader Data Sc.