Economist, AWS Marketing Science

Description

Are you excited about building the science behind marketing measurement for one of the world's largest B2B technology companies? AWS Marketing is looking for an Economist to help expand our measurement framework beyond demand generation — into brand, product-led growth (PLG), and developer programs. You will work to develop the models and analyses that quantify how these investments drive customer acquisition, engagement, and long-term value.

In this role, you will contribute to the design and execution of measurement approaches for marketing investments that operate through mechanisms distinct from traditional performance marketing. You will help answer questions such as:
What is the incremental impact of brand awareness on customer preferences and conversion costs? How do PLG and developer program investments translate into measurable business outcomes? How should we estimate returns at the program and customer level, not just the channel level? What is the right level of investment across these categories relative to demand generation?

This role combines rigorous economics with applied problem-solving. You will build econometric models, run causal analyses, work with large-scale datasets, and translate findings into recommendations for marketing and finance stakeholders. You will operate in a space where established B2B methodology is limited — bringing structure, creativity, and intellectual rigor to novel measurement problems.

Develop econometric and causal inference models to estimate the impact of brand, PLG, and developer program investments on acquisition, engagement, and revenue

Build measurement approaches that produce program-level and customer-level estimates, extending the team's existing channel-level framework

Connect upper-funnel metrics (awareness, consideration, salience) and product engagement signals to downstream business outcomes including revenue and customer lifetime value

Apply methods suited to long-horizon effects with slow feedback loops — distinguishing these from shorter-cycle performance marketing signals

Conduct empirical analyses using large-scale observational and experimental data, ensuring statistical rigor and reproducibility

Partner with the senior economist leading this area to design research agendas, scope analyses, and iterate on methodology

Communicate findings clearly to technical and non-technical audiences, including marketing leaders and finance partners

Stay current on measurement literature across academia, consulting, and industry; bring relevant approaches into AWS's framework

Collaborate with data scientists and engineers to operationalize models and integrate results into 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 measure outcomes, target customers, and forecast growth — and we consult with marketing stakeholders on how to optimize their investment. Our team has deep expertise in lower-funnel measurement (multi-touch attribution, incrementality testing, long-term ROI) and is now expanding into brand, PLG, and developer program measurement.

You will be part of building that capability from the ground up.

• PhD in economics or equivalent

• 2+ years of industry, consulting, government, or academic research experience
• Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
• Experience with handling of large datasets
• Experience working in a fast-paced and ambiguous environment
• Experience in Marketing Measurement
• Experience working with software developers and product managers

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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