DESCRIPTION

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.

As a Senior Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.

For this role, we are seeking a talented scientist with deep expertise in Gen AI to innovate our product portfolio and ease accessibility to actionable insights for our customers.

Key job responsibilities
- Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models.
- Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
- Lead the decomposition of problems and development of roadmaps to execute on it.
- Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.
- Influence team business and engineering strategies.
- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
- Foster collaborations between scientists to move faster, with broader impact.
- Actively engage in the development of others, both within and outside the team.
- Regularly engage with the broader scientific community with presentations, publications, and patents.


About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

Team Video: https://youtu.be/zD_6Lzw8raE