Applied Scientist, Buyer Abuse Prevention Ml - San Diego, United States - Amazon Services LLC

Mark Lane

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Mark Lane

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Description
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language

Key job responsibilities


As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.


Responsibilities:


  • Invent, implement, and deploy state of the art machine learning algorithms and systems
  • Build prototypes and explore conceptually new solutions
  • Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
  • Take ownership of how ML solutions impact Amazon resources and Customer experience
  • Develop efficient data querying infrastructure for both offline and online use cases
  • Collaborate with crossfunctional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
  • Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.
  • Research and implement novel machine learning and statistical approaches
  • Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
San Diego, CA, USA

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