--- title: Applied Scientist at Amazon in Newark, NJ description: Amazon is hiring for the Applied Scientist role in Newark, NJ. Pays $172.4K–$223.4K per year. Full-time role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/applied-scientist-at-amazon-01a15eee-17c2-7fa0-9290-d49e07f7ffb0 date: 2026-11-15T01:26:44Z og_description: Join Amazon as Applied Scientist in Newark, NJ. Pays $172.4K–$223.4K per year. Full-time role. Requires 5+ years of experience. og_image: https://www.foundrole.com/og/bitm3p.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) | | **Location** | Newark, NJ | | **Salary** | $172.4K/yr - $223.4K/yr | | **Type** | Full Time | | **Posted** | Oct 21, 2026 | ## Is this job real? **Ghost job check:** A · Low risk. Probably a real opening. ## Visa sponsorship - **H-1B:** Amazon sponsors H-1B visas. It filed 25,968 H-1B petitions (FY2026 Q1 – FY2026 Q4). - **E-Verify:** No E-Verify enrollment on record for Amazon. ## Pay for similar jobs Most similar jobs pay $197,000 – $226,000 a year (median $206,000). ## 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. ## Basic Qualifications \- Experience creating novel algorithms and advancing the state of the art \- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD \- Fluent in SQL, Python \- Depth and breadth in novel machine learning technologies \- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms \- Big Data Engineering with Spark/AWS EMR & Glue \- Experience with Agile Software Development ## Preferred Qualifications \- Domain knowledge of comparable products (digital, retail) \- Fluency in Java \- Experience in developing and enhancing fraud detection and mitigation models and techniques \- Knowledge of the latest advancements in AI/ML-powered fraud detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 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 . USA, NJ, Newark - 172,400.00 - 223,400.00 USD annually ## Skills - Cloud Computing - Quantitative Analysis - Amazon Web Services - AWS SageMaker - Data Science - Amazon EMR - Python - Data Pipeline Orchestration - Agile Methodology - Algorithms - SQL - Big Data - Apache Spark - Statistics - AWS Glue - Fraud Detection - Computer Science - Machine Learning - AWS Step Functions - Java - AWS Lambda ## Benefits - Mental Health - Health Insurance - Dental Insurance - Vision Insurance - Life Insurance - Parental Leave - Paid Time Off (Pto) - 401(k) Plans - Employee Stock Options (ESOs) ## Related - [More jobs at Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) - [Data & Analytics jobs](https://www.foundrole.com/careers/data-and-analytics?utm_source=ai_markdown)- [Data Science jobs](https://www.foundrole.com/careers/data-and-analytics/data-science?utm_source=ai_markdown)- [Data Scientist jobs](https://www.foundrole.com/careers/data-and-analytics/data-science/data-scientist?utm_source=ai_markdown)- [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown) ## Explore this job market - [Internet Marketplace Platforms](https://www.foundrole.com/sectors/technology/internet-marketplace-platforms?utm_source=ai_markdown) — 63042 jobs - [New Jersey](https://www.foundrole.com/locations/us/new-jersey?utm_source=ai_markdown) — 62004 jobs - [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) — 20341 jobs - [Newark, NJ](https://www.foundrole.com/locations/us/new-jersey/newark?utm_source=ai_markdown) — 2111 jobs ## Related pages - [Internet Marketplace Platforms](https://www.foundrole.com/sectors/technology/internet-marketplace-platforms?utm_source=ai_markdown) — 63042 jobs - [New Jersey](https://www.foundrole.com/locations/us/new-jersey?utm_source=ai_markdown) — 62004 jobs - [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) — 20341 jobs - [Newark, NJ](https://www.foundrole.com/locations/us/new-jersey/newark?utm_source=ai_markdown) — 2111 jobs ## Browse - [Companies](https://www.foundrole.com/companies?utm_source=ai_markdown) - [Jobs by country](https://www.foundrole.com/locations?utm_source=ai_markdown) - [Jobs in the United States by state and city](https://www.foundrole.com/locations/us?utm_source=ai_markdown) - [H1B sponsors by location](https://www.foundrole.com/h1b-sponsors?utm_source=ai_markdown) - [H1B salaries](https://www.foundrole.com/h1b-salaries?utm_source=ai_markdown) - [Sectors and industries](https://www.foundrole.com/sectors?utm_source=ai_markdown) - [Jobs by career field](https://www.foundrole.com/careers?utm_source=ai_markdown) - [Latest jobs](https://www.foundrole.com/jobs/latest?utm_source=ai_markdown)