Data Science Lead for Account Integrity
7 days ago
As a Machine Learning Applied Scientist at Amazon, you will be part of an innovative team of scientists who use machine learning and statistical techniques to protect customer trust and prevent bad actors from accessing Amazon accounts.
The Amazon Account Integrity team is responsible for designing and implementing effective risk management strategies using machine learning and statistical techniques. We are seeking a talented scientist to collaborate with cross-functional teams to develop and implement advanced algorithmic systems.
Responsibilities:
- Develop and implement machine learning models and algorithms to manage customer trust and safety
- Collaborate with cross-functional teams to design and implement effective risk management strategies
- Lead the development of advanced algorithmic systems to manage the trust and safety of millions of customers daily
Requirements:
- PhD or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent work experience
- 4+ years of experience in machine learning, data mining, and statistical analysis
- Strong programming skills in Java, C++, Python, or related languages
We offer a competitive salary ranging from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Our compensation package includes equity, sign-on payments, and other benefits.
We are committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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