Scaled Abuse Specialist, Special Projects & Investigations

Amazon

Seattle, WA

Apply

JOB DETAILS

SKILLS

Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Big Data, Business Operations, Communication Skills, Computer Programming, Computer Science, Computer Security, Corporate Policies, Customer Support/Service, Cyber Investigation, Data Analysis, Data Mining, Data Processing, Data Science, Data Sets, Diving, Ecosystems, Entrepreneurship, Establish Priorities, Federal Laws and Regulations, Fraud Investigation, Health Maintenance, Identify Issues, Identity Data Management, Internet Security, Leadership, Machine Learning, Mathematics, Multilingual, Partner Sales, Presentation/Verbal Skills, Problem Solving Skills, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Risk, Risk Analysis, Root Cause Analysis, SQL (Structured Query Language), State Laws and Regulations, Statistics, Training/Teaching, Writing Skills, eCommerce

LOCATION

Seattle, WA

POSTED

25 days ago

Description The Special Projects & Investigations 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. The Customer Trust (CT) organization's mission is to keep Amazon stores safe and trustworthy for our buyers, brands and selling partners, by enabling our selling partners to provide great CX while ensuring bad actors are kept out of our stores. The Special Projects & Investigations (SPI) team protects Amazon's WW stores store by creating projects and programs focused on the detection of abuse at its earliest point and identifying the root causes, vulnerabilities or exploits to systematically address to prevent future abuse. We search out highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. The combination of our unique backgrounds and perspectives strengthens our ability to achieve Amazon's mission of being Earth's most customer-centric company. 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 maintain the health of Amazon's catalog and product listings ecosystem. Key job 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. A day in the life 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. About the team 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 speak 12 languages, write code in 3 (mostly self-taught, on the job), and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow. Our work is to solve hard puzzles and identify what hasn't already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us. Basic Qualifications - 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 Preferred Qualifications - 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. 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 https://amazon.jobs/en/benefits . USA, AZ, Tempe - 102,000.00 - 178,400.00 USD annually USA, CA, San Diego - 102,000.00 - 178,400.00 USD annually USA, VA, Arlington - 102,000.00 - 178,400.00 USD annually USA, WA, Seattle - 102,000.00 - 178,400.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

Resume Resources

Free Resume Templates Free Resume Builder