Scaled Abuse Specialist, Special Projects & Investigations

The Special Projects & Investigations (SPI) team is looking for an experienced, motivated industry specialist with background in risk, digital fraud, compliance, or cyber investigations who also have advanced data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical and high impact projects and scale their findings through technology and analytics to interpret risks across Amazon’s entire business segment or apply other industry experience to develop feasible, systematic solutions to endemic problems.

• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
• Use high‑level judgment to inform our most complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams
• Use data and/or technical skills to discover new ways to scale deep‑dive signals resulting in the identification of many bad actors and sizing the issue
• Own the complete life cycle of one or more complex problems – from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• Conduct large‑scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade‑offs, clearly communicating goals, roles and responsibilities
• Utilize agentic AI systems to automate workflows, scale pattern detection, and accelerate investigation and detection projects

Your day might involve diving deep into data to uncover emerging fraud patterns, collaborating with teams across Amazon to implement protective solutions, or developing new detection methods. You'll balance independent analytical work with team collaboration, sharing insights and supporting colleagues in our shared mission.

Our team is comprised of practitioners of fraud and abuse, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk experiences to deliver results – we wear a lot of hats and take ownership of hard‑to‑solve problem areas whenever possible. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.

• Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline
• 3+ years of relevant industry experience in risk or fraud investigations, Identity and Access Management, e‑commerce, analytics, or security
• Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python and AI tools
• Proven ability to deliver complex projects across multiple teams

• Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards
• Experience in Amazon Redshift and other AWS technologies
• Master’s degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining
• Experience in written and verbal communication skills to communicate with technical and non‑technical audiences, including senior leadership
• Experience working in e‑commerce or tech industry working on scaled abuse
• Experience working in relevant industries such as Identity and Access Management, security, investigations, risk, compliance or project management
• Exceptional ownership and bias for action: willing to move quickly and decisively

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below)..

USA, AZ, Tempe -  -  USD annually

USA, CA, San Diego -  -  USD annually

USA, VA, Arlington -  -  USD annually

USA, WA, Seattle -  -  USD annually