Amazon.com Services LLC

ecommerce

ScaledAbuseSpecialist

$102–178k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

ecommerce
Problems you'll solve

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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