Amazon.com Services LLC
ecommerce
ScaledAbuseSpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Scaled Abuse Specialist at Amazon.com Services LLC. Skills: Risk management, Data analysis, Machine learning, Fraud detection. Complete risk analyses. Manipulate data in complex data sets”
What You'll Achieve.
Protect customers and selling partners; Maintain health of Amazon's catalog; Prevent fraud across Amazon stores
Industry & Context.
Break down complex problems; Solve complex problems; Problem solve
What They're Looking For.
Must Have
Bachelor’s 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, regulatory compliance, ecommerce, analytics, or security, Proficient with deriving insights from big data using SQL, Experience manipulating/processing data with Python, Proven ability to deliver complex projects across multiple teams
Nice to Have
Experience working in e-commerce organizations, Experience working within fraud, compliance, law enforcement, or intelligence organizations, Experience with AWS services like Redshift, Neptune or Sagemaker, Masters degree in or practical experience with data science or machine learning, High level of integrity and discretion to handle confidential information, Exceptional ownership and bias for action, Proven ability to problem solve in large/complex/technical systems
What You'll Do.
Complete risk analyses
Manipulate data in complex data sets
Use high-level judgment to inform enforcement decisions
Identify gaps and risks in Amazon's current mechanisms
Recommend solutions to product/policy owning teams
Use data and/or technical skills to discover new
Identify many bad actors
Own the complete life cycle of complex problems
Break problems into manageable pieces
Ruthlessly prioritize
Deliver results in an ambiguous environment
Conduct large scale deep dives to derive insights
Identify gaps and risk in Amazon's current mechanisms
Write documents for partner teams and executives
Propose technical solutions
Drive alignment among stakeholders
Own partnerships with stakeholder teams
Guide appropriate trade-offs
Clearly communicate goals
roles and responsibilities
Design and deploy agentic AI systems
Automate complex workflows
Scale pattern detection
Accelerate enforcement decisions
How You'll Work.
Team & Collaboration
Collaborating with teams; Partner teams; Stakeholder teams
Communication Scope
Written communication; Verbal communication; Executive presentations
Process & Methodology
Complex projects
Full Job Description
The Special Projects & Investigations team is looking for an experienced, motivated Scaled Abuse Specialist (formerly called Industry Specialist) with background in risk, digital fraud, compliance 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. Selling Partner Trust and Store Integrity (TSI) creates a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors, and Amazon from fraud, counterfeit, and abuse. The Special Projects and Investigations (SPI) team within TSI protects Amazon customers and stores by applying systems thinking to understand how networks of users interact with multiple services. We target large-scale ecosystems that pose store-level risks and mitigate those ecosystems through internal and external means. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, demonstrate tenacity to get things done, thrive in ambiguity and change, and can break down and solve complex problems. We catch bad actors and stop online fraud. It’s fun. It’s hard. It matters. We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world’s most trusted companies. Help us keep it that way. To achieve this, the ideal candidate should be passionate about use of advanced data analytics and technology approaches to identify patterns and establish connections to uncover process and technology gaps and prevent fraud across Amazon stores worldwide. Your decisions are not only fundamental to helping protect customers and selling partners but will help ma
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