Senior Applied Scientist, Ads Measurement Science

Amazon•New York, NY

12d

About The Position

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 that measure the comprehensive impact of 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 methods, approaches and 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 the development of 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.

Requirements

5+ years of building machine learning models for business application experience
PhD, or Master's degree and 8+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Nice To Haves

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
5+ years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals

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 among scientists and engineers to move fast and broaden impact.
Actively engage in the development of others, both within and outside of the team.
Regularly engage with the broader science community with presentations, publications, and patents.