Amazon
Scaled Abuse Specialist, Special Projects & Investigations
$102K–$178K
Tempe, AZ +3 · Full-time · Posted Apr 10, 2026
- Location
- Tempe, AZ
Seattle, WA
Arlington, VA
San Diego, CA - Experience
- 3+ years of relevant industry experience in risk or fraud investigations, Identity and Access Management, e-commerce, analytics, or security.
- Education
- Bachelor's degree.
About the job
Investigates abuse and fraud across Amazon stores, using data analysis and technology to identify risks and scale solutions that protect customers and selling partners.
What you'll do
- Analyze complex datasets and conduct deep dives to identify fraud patterns, risks, and gaps in systems or policies.
- Make complex enforcement decisions and recommend solutions to product and policy teams.
- Own complex problem-solving projects from identification through solution scaling, coordinating stakeholders and using agentic AI to automate workflows and detection.
What they ask for
- Bachelor's degree.
- 3+ years of relevant industry experience in risk or fraud investigations, Identity and Access Management, e-commerce, analytics, or security.
- Proficiency deriving insights from big data using SQL; experience manipulating or processing data with Python and AI tools.
- Proven ability to deliver complex projects across multiple teams.
Nice to have
- Experience with Amazon Redshift and other AWS technologies.
- Master's degree in Math, Statistics, Computer Science, or a related Science field, or experience in data science, machine learning, or data mining.
Pay
102,000.00 - 178,400.00 USD annually (base salary), USA, AZ, Tempe; 102,000.00 - 178,400.00 USD annually (base salary), USA, CA, San Diego; 102,000.00 - 178,400.00 USD annually (base salary), USA, VA, Arlington; 102,000.00 - 178,400.00 USD annually (base salary), USA, WA, Seattle
Tools
SQL, Python, R, Machine Learning, Data Science, Amazon Redshift, AWS technologies, agentic AI systems
AI focus
Uses agentic AI systems to automate workflows, scale pattern detection, and accelerate investigation and detection projects.
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