Amazon
Senior Applied Scientist, Amazon Leo Data Science Platform
$167K–$226K
Redmond, WA · Senior · Full-time · Posted May 21, 2026
- Experience
- 3+ years building machine-learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Build and productionize machine-learning models and rules to detect customer terminal fraud and abuse while monitoring customer experience across Amazon Leo.
What you'll do
- Identify and address fraud vulnerabilities with stakeholders across fraud operations, engineering, and data platform teams.
- Source data, build and evaluate statistical and machine-learning models, and deploy models and rules.
- Use analytics and large-scale data to diagnose issues and improve fraud detection and customer experience.
What they ask for
- 3+ years of experience building machine-learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep-learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Develop machine-learning models and rules to prevent customer terminal fraud and abuse, and use ML to monitor customer experience.
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