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Senior Applied Scientist, Ads Measurement Science

Amazon

$150,400 - $260,000
Oct 12, 2025
New York, NY, US
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Amazon Ads Measurement Science team needs to develop solutions for performance measurement products that measure the comprehensive impact of ad spend, including sales impacts online and offline across timescales, and provide actionable insights for advertisers to optimize their media portfolios.

Requirements

  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • 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 between scientists to move faster, with broader impact.

Other

  • 5+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 8+ years of applied research experience
  • 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.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.