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 advertiser's 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 also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.

Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.

Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.

Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models that measure the impact of ad spend across multiple platforms and timescales.

Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.

Translate complex scientific challenges into clear and impactful solutions for business stakeholders.

Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.

Foster collaborations between scientists to move faster, with broader impact.

Regularly engage with the broader scientific community with presentations, publications, and patents.