Amazon.com Services LLC
Research Science, Applied Science, selling partner services
Sr.AppliedScientist,AmazonSellingPartnerTrust&StoreIntegrityScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Applied Scientist, Amazon Selling Partner Trust & Store Integrity Science at Amazon.com Services LLC. Skills: Machine learning, Abuse detection, Risk models, GenAI technology. Create scalable abuse detection solutions. Identify fraudulent seller behavior”
What You'll Achieve.
Protect customer trust; Maintain marketplace integrity; Support legitimate selling partners
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
4+ years building ML models, PhD or Master's degree, 3+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning
Nice to Have
Modeling tools experience, Large scale distributed systems experience
What You'll Do.
Create scalable abuse detection solutions
Identify fraudulent seller behavior
Identify account takeovers
Identify marketplace manipulation schemes
Build automated solutions for seller verification
Build automated solutions for transaction monitoring
Build automated solutions for risk assessment
Develop end-to-end machine learning solutions
Deploy machine learning solutions
Prevent sophisticated abuse patterns
Detect sophisticated abuse patterns
Experiment with machine learning advancements
Protect customer trust
Maintain marketplace integrity
Support legitimate selling partners
Develop comprehensive risk models
Build scalable processes for data analyses
Build efficient processes for data analyses
Build automated processes for data analyses
Build scalable processes for model development
Build efficient processes for model development
Build automated processes for model development
Build scalable processes for model validation
Build efficient processes for model validation
Build automated processes for model validation
Build scalable processes for model implementation
Build efficient processes for model implementation
Build automated processes for model implementation
Provide clear reports for solutions
Provide compelling reports for solutions
Contribute to innovation
Contribute to knowledge-sharing
How You'll Work.
Team & Collaboration
Cross-functional teams; Business partners; Engineering teams
Communication Scope
Compelling reports
Full Job Description
Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's customers and legitimate sellers while ensuring a fair and trusted shopping experience? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions? If yes, we invite you to join the Amazon Risk Intelligence Science Team. We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of seller interactions daily, ensuring the integrity and trustworthiness of Amazon's marketplace while scaling our operations to new heights. Your work will directly impact the safety and security of the shopping experience for hundreds of millions of customers worldwide, while supporting the growth of honest entrepreneurs and businesses. Key job responsibilities • Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior, account takeovers, and marketplace manipulation schemes • Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment • Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace • Learn, explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners • Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats About the team You'll be working
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