Scaled Abuse Specialist, Special Projects & Investigations

Amazon • San Diego, CA

25d • Remote

About The Position

The Special Projects & Investigations team is seeking an experienced industry specialist with a background in risk, digital fraud, compliance, or cyber investigations, coupled with advanced data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical and high-impact projects, leveraging technology and analytics to interpret risks across Amazon's business segments or apply industry experience to develop systematic solutions for complex problems. The Customer Trust (CT) organization's mission is to ensure Amazon's stores are safe and trustworthy for buyers, brands, and selling partners by enabling selling partners to provide great customer experiences while preventing bad actors. The Special Projects & Investigations (SPI) team focuses on detecting abuse at its earliest stages and identifying root causes, vulnerabilities, or exploits to prevent future abuse. We are looking for candidates who are fast-paced, possess an entrepreneurial spirit, are tenacious, thrive in ambiguity, and can break down and solve complex problems. We value diverse backgrounds and perspectives to strengthen our ability to be Earth's most customer-centric company. Our work involves catching bad actors and stopping online fraud, which is challenging, important, and rewarding. We are passionate about protecting our selling partners and customers and seek a candidate who shares this passion. The ideal candidate will be passionate about using advanced data analytics and technology to identify patterns, uncover gaps, and prevent fraud across Amazon stores worldwide. Decisions made in this role are fundamental to protecting customers and selling partners, and maintaining the health of Amazon's catalog and product listings ecosystem.

Requirements

• Bachelor's degree
• 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

Nice To Haves

• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
• Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining
• Experience in Amazon Redshift and other AWS technologies
• 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

Responsibilities

• 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
• Owning 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 communicate goals, roles and responsibilities.
• Utilize agentic AI systems to automate workflows, scale pattern detection, and accelerate investigation and detection projects.

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level