Pinterest is seeking a Data Scientist to join its marketing team, focusing on enhancing marketing measurement and optimization to drive revenue growth. This role involves collaborating with various cross-functional partners to analyze advertiser behavior and develop advanced statistical models. The Data Scientist will play a key role in shaping strategic decisions by providing actionable insights and recommendations. The position requires a blend of technical expertise and strong communication skills to effectively convey findings to both technical and non-technical stakeholders.

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Excellent communication skills, able to lead initiatives and communicate findings to leadership and cross-functional teams.
• Hands-on experience with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R) and proficiency in SQL/Hive.

• Analyze advertiser behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention, and churn.
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI.
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models.
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
• Conduct deep, strategic analyses to address key business questions related to marketing ROI and budget allocation.
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for stakeholders.
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities.