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Applied Scientist, AWS Payments and Fraud Prevention

Amazon.com Inc
  • Seattle, WA
    6 days ago

    Job Description

    Are you passionate about solving complex problems and protecting one of the world's largest cloud platforms? The AWS Payments and Fraud Prevention team is looking for an innovative Applied Scientist to help keep AWS a safe and trusted environment for millions of customers worldwide.

    In this role, you will design, build, and deploy machine learning models that detect, prevent, and mitigate fraudulent activity across the AWS ecosystem. You will work with massive, real-world datasets, develop new detection strategies, and apply advanced and practical technologies to tackle ever-evolving threats. You will also explore Generative AI (GenAI) techniques to uncover new fraud patterns and strengthen our fraud defenses.

    At AWS, we support hundreds of thousands of businesses, powering billions of transactions every day. Fraudsters are constantly innovating - and so are we. If you enjoy thinking like a fraudster, building resilient defenses, and making a real-world impact, we invite you to join us and help shape the future of secure cloud computing.

    Key job responsibilities

    • Design, build, and deploy machine learning models to detect, prevent, and mitigate fraudulent activities across the AWS platform.
    • Analyze large-scale behavioral, transactional, and historical datasets to uncover fraud patterns and emerging threats.
    • Explore and apply GenAI techniques, including large language models (LLMs), synthetic data generation, and adversarial simulations to enhance fraud detection capabilities.
    • Collaborate closely with engineering, product, and operations teams to translate business needs into scalable technical solutions.
    • Experiment, prototype, and iterate on new detection strategies, algorithms, and evaluation metrics.
    • Continuously monitor model performance and improve robustness against adversarial behaviors and evolving fraud tactics.
    • Communicate findings and technical insights clearly and effectively to both technical and non-technical audiences.
    • Contribute to the broader fraud prevention strategy, driving innovation and best practices across the organization.

    About the team

    AWS Payments and Fraud Prevent is responsible for detecting & mitigating AWS account risks. You'll be part of a team of Scientists, Analysts, and Technical & non-Technical Program Managers. The team's goal is to identify and neutralize fraudsters from unauthorized access to legitimate AWS customers accounts.

    We have a formal mentor search application that lets you find a mentor that works best for you. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    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

    Skills

    • Algorithmsunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Data Setsunmatched
    • Ecosystemsunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Modeling Languagesunmatched
    • Multiplatform/Cross-Platformunmatched
    • Performance Analysisunmatched
    • Performance Managementunmatched
    • Performance Modelingunmatched
    • Problem Solving Skillsunmatched
    • Project/Program Managementunmatched
    • Prototypingunmatched
    • Risk Managementunmatched
    • Strategic Planningunmatched
    • Technical Leadershipunmatched

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