About the company
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.
Responsibilities
- Drive Ads Product Strategy across Pinterest: Leverage strong business and product acumen to proactively identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives.
- Translate Complex Business Needs into Data Solutions: Partner closely with product, engineering, and business stakeholders to understand challenges and translate ambiguous business questions into structured analytical problems.
- Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs.
- Be a Strategic Thought Partner: Bring proactive and influential product leadership, act as a key advisor to Product Managers and Engineering leaders, define the analytical roadmap, and guide the team to execute effectively.
- Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, connecting revenue performance data with product actions and performance metrics.
- Communicate for Impact: Articulate complex data findings and strategic insights clearly to both technical and non-technical senior stakeholders.
- Elevate Data Science Practices: Act as a subject matter expert for the broader Data Science team, sharing best practices in data analysis, strategic thinking, and effective communication.
Requirements
- Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience.
- 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex business problems on large-scale data.
- Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks.
- Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding.
- Expertise in data democratization principles, including designing and maintaining foundational datasets and building BI solutions.
- Strong fundamentals in statistics and experimentation, with ability to interpret insights from causal inference techniques.
- Proven ability to influence cross-functional partners and senior leadership through compelling data narratives.
- Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker) is required.