Senior Applied Scientist - Fraud & UX ML Lead

Amazon

Redmond (WA)

On-site

USD 167,100 - 226,100

Full time

14 days+

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Benefits offered by this job

Sign-on payments
Restricted stock units
Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Senior Applied Scientist for the Amazon Leo Data Science Platform in Redmond, Washington. This role involves leading data science initiatives to enhance fraud detection and improve customer experience. With at least 3 years of experience in building machine learning models, candidates must also possess a Ph.D. or Master’s and proficiency in Java, C++, or Python.

The position offers a competitive salary range of $167,100 – $226,100 annually, along with sign-on payments and comprehensive benefits including health insurance and parental leave.

Qualifications

  • 3+ years of building machine learning models for business applications.
  • Experience with neural deep learning methods and standard machine learning.
  • Experience using modeling tools like R, TensorFlow, and Spark.

Responsibilities

  • Lead end‑to‑end data science projects, including data extraction, model building, evaluation, and production deployment.
  • Collaborate with teams to identify and address fraud vulnerabilities.
  • Develop rules and machine learning models to prevent Customer Terminal usage fraud.

Skills

Machine learning model building
Programming (Java, C++, Python)
Neural deep learning methods
Data extraction and evaluation
Large-scale distributed systems

Education

Ph.D. or Master’s degree with applied research experience

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
NumPy
SciPy

Job description

Amazon is seeking a Senior Applied Scientist for the Amazon Leo Data Science Platform in Redmond, Washington. This role involves leading data science initiatives to enhance fraud detection and improve customer experience. With at least 3 years of experience in building machine learning models, candidates must also possess a Ph.D. or Master’s and proficiency in Java, C++, or Python.

The position offers a competitive salary range of $167,100 – $226,100 annually, along with sign-on payments and comprehensive benefits including health insurance and parental leave.

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