Senior Economist

Key Job Responsibilities

• Design and build a rigorous measurement framework for brand and upper-funnel marketing investment at AWS.
• Develop econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue.
• Quantify the optimal level of brand investment and the returns relative to other marketing channels.
• Connect upper-funnel brand metrics (e.g., aided/unaided awareness, consideration, salience) to downstream business outcomes including revenue and customer lifetime value.
• Apply causal inference methods suited to long-horizon, slow-moving brand effects — distinguishing these from the shorter feedback loops of performance marketing.
• Partner with marketing leaders, finance, and strategy teams to translate findings into actionable investment recommendations.
• Consult with business stakeholders to frame brand investment tradeoffs and communicate results with clarity and credibility.
• Stay current on brand measurement literature and bring best practices from academia, consulting, and industry into AWS's approach.
• Collaborate with data scientists and engineers to operationalize models and integrate brand measurement into existing marketing science products.

The AWS Marketing Science team is a group of scientists, economists, and engineers building science products that power marketing decisions across AWS. We provide strategic support in measuring outcomes, targeting customers, and forecasting growth and consult with marketing stakeholders on how to optimize their investment. Our team has deep expertise in measuring the impact of lower-funnel marketing activities — including multi-touch attribution, incrementality testing, and long-term ROI — and is building the capabilities to measure brand investment, an investment that operates through distinct mechanisms and requires a distinct scientific approach, and you will own it.

• PhD in economics or equivalent.

• Experience in analytics and applied economics.
• Experience in developing and executing an analytic vision to solve business-relevant problems.
• Experience in building statistical models using R, Python, STATA, or a related software.
• Experience in industry, consulting, government or academic research.
• Experience managing and measuring marketing performance in various channels.
• Experience presenting to senior leadership.
• Knowledge of modern machine learning methods and their integration with econometric approaches.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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