Amazon.com Inc logo

Applied Scientist

Amazon.com Inc
  • Newark, NJ
    4 days ago

    Job Description

    At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

    About this role

    In this role, you"ll employ scalable machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You"ll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company"s assets, protecting customers from financial harm, and maintaining the integrity of our systems. You"ll translate intricate fraud patterns into actionable insights, enabling rapid response to emerging threats and informing critical business decisions related to risk management. You"ll operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.

    As an Applied Scientist, you will...

    • Protect Audible's customers and content creators against the onslaught of AI-generated fraud
    • Develop Amazon-scale data engineering & modeling pipelines.
    • Imagine and invent before the business asks, and create novel fraud detection and mitigation solutions using innovative approaches.
    • Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon.
    • Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from others.

    ABOUT AUDIBLE

    Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

    Numbers & Facts

    LocationNewark, NJ
    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

    • Artificial Intelligence (AI)unmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Deep Learningunmatched
    • Entrepreneurshipunmatched
    • Fraud Investigationunmatched
    • Intellectual Property (IP)unmatched
    • Machine Learningunmatched
    • Natural Language Processing (NLP)unmatched
    • Pattern Analysisunmatched
    • Predictive Modelingunmatched
    • Project Developmentunmatched
    • Risk Managementunmatched
    • Storytellingunmatched

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