Responsibilities

• Partner with acquisition, product marketing, sales, data science, and research to shape paid marketing measurement roadmaps.
• Build channel learning plans to unpack insights on performance factors like creative, audience, partners, and tactics.
• Execute measurement requirements including data instrumentation, attribution, experimentation, modeling, and causal inference.
• Track paid media performance against goals; lead channel reporting and data narratives for senior leaders.
• Inform strategic roadmap for marketing science capabilities (MMM, AMM, geo experimentation).
• Utilize GenAI tools to design and build agentic workflows, speeding insights and decisions.

Requirements

• 7+ years in a data science or analytics role focused on marketing and paid media measurement.
• Advanced statistical analysis, A/B testing, geo/match-market experimentation, marketing AI/ML use cases including MMM and attribution.
• Experience building data pipelines and ETL using SQL and Python, instrumenting new data requirements and handling large datasets.
• Strong insight mining and data storytelling skills to rapidly construct narratives for marketing leaders.
• Well-developed business acumen with ability to shape GTM and growth strategy across complex businesses with multiple SKUs; financial services preferred.
• Experience using GenAI tools to augment self-service reporting and insight generation capabilities.
• Bachelor’s degree in a quantitative field or equivalent; advanced degree preferred.