Applied Scientist
Applied Scientist
Posted on :
24-04-2025
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1 Vacancy
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Job Description
At Audible we believe stories have the power to transform lives. Its why we work with some of the worlds 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 youll employ scalable cuttingedge 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. Youll 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 companys assets protecting customers from financial harm and maintaining the integrity of our systems. Youll translate intricate fraud patterns into actionable insights enabling rapid response to emerging threats and informing critical business decisions related to risk management. Youll 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 Audibles customers and content creators against the onslaught of AIgenerated fraud
Develop Amazonscale data engineering & modeling pipelines
Imagine and invent before the business asks and create groundbreaking fraud detection and mitigation solutions using cuttingedge approaches
Work closely with other data scientists ML experts engineers as well as business across the globe and on crossdisciplinary 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.
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
Fluency in Python SQL or similar scripting languages and skilled at Java C or other programing languages
Experience in algorithm development
Depth and breadth in stateoftheart machine learning technologies
Machine Learning Pipeline orchestration with AWS (SageMaker Batch Lambda Step Functions) or similar cloudplatforms
Big Data Engineering with Spark / AWS EMR & Glue
Domain knowledge of comparable products (digital retail)
Publications at toptier peerreviewed conferences or journals in one of those areas (natural language processing/understanding deep learning machine learning or speech processing)
Proven track record of innovation in creating novel algorithms and advancing the state of the art
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 youre applying in isnt listed please contact your Recruiting Partner.
ABOUT THIS ROLE
In this role youll employ scalable cuttingedge 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. Youll 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 companys assets protecting customers from financial harm and maintaining the integrity of our systems. Youll translate intricate fraud patterns into actionable insights enabling rapid response to emerging threats and informing critical business decisions related to risk management. Youll 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 Audibles customers and content creators against the onslaught of AIgenerated fraud
Develop Amazonscale data engineering & modeling pipelines
Imagine and invent before the business asks and create groundbreaking fraud detection and mitigation solutions using cuttingedge approaches
Work closely with other data scientists ML experts engineers as well as business across the globe and on crossdisciplinary 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.
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
Fluency in Python SQL or similar scripting languages and skilled at Java C or other programing languages
Experience in algorithm development
Depth and breadth in stateoftheart machine learning technologies
Machine Learning Pipeline orchestration with AWS (SageMaker Batch Lambda Step Functions) or similar cloudplatforms
Big Data Engineering with Spark / AWS EMR & Glue
Domain knowledge of comparable products (digital retail)
Publications at toptier peerreviewed conferences or journals in one of those areas (natural language processing/understanding deep learning machine learning or speech processing)
Proven track record of innovation in creating novel algorithms and advancing the state of the art
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 youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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