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Amazon Applied Scientist 
United States, Washington, Seattle 
236399195

20.04.2025
DESCRIPTION


Key job responsibilities
- Use machine learning and statistical techniques to create scalable fraud & abuse detection solutions
- Innovate with the latest GenAI technology to build highly automated solutions for efficient risk evaluation and automated operations
A day in the life
you will be working within a dynamic, diverse, and supportive group of scientists who share your passion for innovation and excellence.You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 2+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in solving business problems through machine learning, data mining and statistical algorithms


PREFERRED QUALIFICATIONS

- PhD in computer science, machine learning, engineering, or related fields
- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience in professional software development