Amazon Sr Applied Scientist ABPL Science Fraud & Personalization 

United States, Washington, Seattle 

151485078

Key job responsibilities
As a Sr Applied Scientist working in ABPL Fraud Science, your key job responsibilities will include:2- Partnering with engineering teams to solve complex technical problems. Defining system-level technical requirements, developing implementation plans, guiding adaptation of techniques to meet production requirements, and ensuring consideration of appropriate tradeoffs at the system level.

- 4+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Excellent communication skills, capable of discussing technical details with a variety of audiences and influencing decision-making processes

- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Expertise in machine learning, statistical analysis, and algorithmic solutions related to fraud and abuse prevention, particularly in Generative AI, Graph-based ML, Behavioral Modeling, and Real-Time Detection