Understanding and improving how Pinterest optimizes ads through the ads delivery funnel to Pinners is fundamental to Pinterest’s long-term success
Requirements
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems
Proficiency in leveraging large datasets for performance analysis and gap identification
Proven ability to apply scientific methods to solve real-world problems on web-scale data
Expertise in SQL and Python
Experience in digital ad delivery stacks preferred
Responsibilities
Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future
Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis
Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth
Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds
Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation
Other
In-Office Requirement: 1 time per week in San Francisco, CA or Seattle, WA
Relocation Statement: This position is not eligible for relocation assistance
