[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Amazon · Newark, NJ # Applied Scientist US, NJ, Newark Research & Science Listed on Amazon’s official careers site. Posted October 21, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583959/applied-scientist) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist ## 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. ## At a glance - Posted by the employer: Oct 21, 2026 - First seen by OpenNash: Oct 25, 2026 - Last checked: Nov 1, 2026 - Listed for: 11 days - Location: US, NJ, Newark[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10583959/applied-scientist) ## Hiring at Amazon - Open jobs: 19,174 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Amazon ### [Senior Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/1f0fcae17ec94771bedd/) US, NJ, Newark ### [Creator Marketing Manager](https://jobs.opennash.com/companies/amazon/jobs/6d4f44d45560473ae4bf/) US, NJ, Newark ### [Data Scientist](https://jobs.opennash.com/companies/amazon/jobs/4b43a6974f131e6ea9e0/) US, NJ, Newark ### [Director, Content Acquisition & Development -North America](https://jobs.opennash.com/companies/amazon/jobs/d265f942af24bf8ba77e/) US, NJ, Newark ### [Director, Global English Publisher Partnerships, Deal Architecture and Enablement](https://jobs.opennash.com/companies/amazon/jobs/93e7af1b4672705ccaa4/) US, NJ, Newark ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)](https://jobs.opennash.com/companies/target/jobs/0923ac6213001fd36d99/) Target · Canada ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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