Applied Scientist, Denied Party Screening
Applied Scientist, Denied Party Screening
Posted on :
23-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
23-05-2025
Job Description
We are open to hiring candidates to work out of one of the following locations:
Dallas TX USA Seattle WA USA
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come. We are seeking an outstanding Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers data scientists and domain experts you will play a crucial role in defining cuttingedge ML/AIpowered customer experiences and solutions. If you have an entrepreneurial mindset the technical depth to deliver impactful results and a passion for innovation we want to hear from you.
Key job responsibilities
In this role you will:
Drive the research design and development of novel ML/AI models and systems to power critical products and services
Collaborate crossfunctionally to deeply understand business requirements customer needs and technical constraints
Rapidly prototype test and iterate on ML/AI solutions iterating quickly based on data and feedback
Communicate complex technical concepts to technical and nontechnical stakeholders Mentor and grow a team of talented ML scientists and engineers
Stay uptodate on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
A day in the life
1. Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
2. Brainstorming new ML architectures and approaches with your crossfunctional team during a whiteboard session
3. Diving deep into a complex dataset leveraging advanced statistical and ML techniques to uncover hidden insights
4. Prototyping a new ML model and running a series of experiments to optimize its performance
5. Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
6. Mentoring a junior data scientist providing guidance on coding best practices and problemsolving strategies
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Dallas TX USA Seattle WA USA
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come. We are seeking an outstanding Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers data scientists and domain experts you will play a crucial role in defining cuttingedge ML/AIpowered customer experiences and solutions. If you have an entrepreneurial mindset the technical depth to deliver impactful results and a passion for innovation we want to hear from you.
Key job responsibilities
In this role you will:
Drive the research design and development of novel ML/AI models and systems to power critical products and services
Collaborate crossfunctionally to deeply understand business requirements customer needs and technical constraints
Rapidly prototype test and iterate on ML/AI solutions iterating quickly based on data and feedback
Communicate complex technical concepts to technical and nontechnical stakeholders Mentor and grow a team of talented ML scientists and engineers
Stay uptodate on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
A day in the life
1. Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
2. Brainstorming new ML architectures and approaches with your crossfunctional team during a whiteboard session
3. Diving deep into a complex dataset leveraging advanced statistical and ML techniques to uncover hidden insights
4. Prototyping a new ML model and running a series of experiments to optimize its performance
5. Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
6. Mentoring a junior data scientist providing guidance on coding best practices and problemsolving strategies
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing training and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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