The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios.
We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
We are hiring an Economist on the team to develop the next generation of incrementality measurement products, capturing the effect of advertising in driving sales as well as the effects of measurement tools on advertiser engagement with Amazon. As an Economist on the team, you will lead the design, implementation, and validation of large-scale causal inference methodologies to capture these properties.
You will communicate your results with science and business leaders, and partner with other scientists and engineers to carry solutions into production.
Key Job Responsibilities
Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high quality technical documents
Partner closely with other scientists to deliver large, multi-faceted technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and non-technical audiences and leaders
Contribute new ideas that shape the direction of the team's work
Mentor more junior scientists and participate in the hiring process
Basic Qualifications
PhD in economics or equivalent
Preferred Qualifications
2+ y
📌 Economist, Ads Measurement Science (Madrid)
🏢 Amazon
📍 Madrid
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