Applied Scientist

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.

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.

• 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.

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.

• 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 (Sage Maker, Batch, Lambda, Step Functions) or similar cloud-platforms
• Big Data Engineering with Spark/AWS EMR & Glue
• Experience with Agile Software Development

• 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. Veterans, military spouses, and people with disabilities are encouraged to apply.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units…