In this role at Pinterest, you will be a key individual contributor within the Ads organization, focusing on leveraging data for strategic decision-making and operational excellence. You will collaborate with product, engineering, and business teams to translate complex business needs into actionable data solutions. Your expertise will ensure data integrity and quality, while also serving as a strategic thought partner to influence product leadership. This position emphasizes the importance of data-driven insights to enhance product performance and business outcomes.

• 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, real-world business problems on large-scale data.
• Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks and actionable recommendations.
• Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding.
• Expertise in data democratization principles, including experience designing and maintaining foundational datasets and building comprehensive business intelligence solutions.
• Strong fundamentals in statistics and experimentation, with the ability to interpret and apply insights from various causal inference techniques.
• Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights.
• Proficiency in SQL, Python, and experience with data visualization tools such as Tableau or Looker.

• Drive Ads Product Strategy across Pinterest by identifying opportunities and generating insights.
• Translate complex business needs into structured analytical problems.
• Ensure data trustworthiness and quality in all analytical outputs.
• Act as a strategic thought partner to product managers and engineering leaders.
• Connect financial and product performance by liaising with BizOps, Finance, and other Strategy teams.
• Communicate complex data findings and strategic insights clearly to stakeholders.
• Elevate data science practices by sharing best practices and contributing to a culture of continuous learning.