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Data Scientist II, Cyber Fraud Prevention
Amazon.comUnited Statesfull_timeVerifiedPosted 9 Jul 2025
💰 $212,800/yr($125,500/yr – $212,800/yr)
About the role
We are open to hiring candidates to work out of: Seattle, WA, USA
Do you want to join an innovative team that's breaking new ground in detecting and preventing abuse and security threats across Amazon's global operations? Are you excited by the prospect of developing novel machine learning approaches to identify emerging abuse patterns that span multiple systems and data sources?
We are looking for a talented Data Scientist to join our Security Abuse Prevention team. This role offers a unique opportunity to build first-of-their-kind ML models that protect Amazon's logistics network by detecting suspicious patterns across warehouse operations, transportation systems, and customer service interactions. You'll collaborate closely with security teams and operations stakeholders to translate complex abuse scenarios into scalable detection systems.
Key job responsibilities
* Design and develop novel machine learning models to detect abuse patterns across logistics systems, focusing on anomaly detection and adaptive learning approaches
* Analyze large-scale logistics data to identify emerging abuse vectors and quantify their business impact
* Partner with security teams to translate abuse scenarios into model features and detection rules
* Work closely with engineering teams to implement real-time detection systems
* Collaborate with operations teams to validate findings and refine models based on ground truth
* Research and implement innovative approaches for connecting signals across disparate systems
* Establish scalable processes for model development, validation and deployment
* Provide clear insights to leadership on abuse trends and model performance
A day in the life
You will partner with teams across Amazon's security and operations organizations and work with unique datasets spanning Amazon's global operations. You will pioneer new approaches to security abuse prevention shape and drive measurable business impact through novel ML applications.
Security Abuse Prevention team provides Stores businesses with identity and access management solutions and drive resilience against security abuse. We do this through scalable mechanisms, leveraging automation and AI, while ensuring protection of our customer data and privacy. The team focuses on data collection, correlation, and anomaly identification across Amazon's global logistics network.
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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 Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
#joinbst
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Do you want to join an innovative team that's breaking new ground in detecting and preventing abuse and security threats across Amazon's global operations? Are you excited by the prospect of developing novel machine learning approaches to identify emerging abuse patterns that span multiple systems and data sources?
We are looking for a talented Data Scientist to join our Security Abuse Prevention team. This role offers a unique opportunity to build first-of-their-kind ML models that protect Amazon's logistics network by detecting suspicious patterns across warehouse operations, transportation systems, and customer service interactions. You'll collaborate closely with security teams and operations stakeholders to translate complex abuse scenarios into scalable detection systems.
Key job responsibilities
* Design and develop novel machine learning models to detect abuse patterns across logistics systems, focusing on anomaly detection and adaptive learning approaches
* Analyze large-scale logistics data to identify emerging abuse vectors and quantify their business impact
* Partner with security teams to translate abuse scenarios into model features and detection rules
* Work closely with engineering teams to implement real-time detection systems
* Collaborate with operations teams to validate findings and refine models based on ground truth
* Research and implement innovative approaches for connecting signals across disparate systems
* Establish scalable processes for model development, validation and deployment
* Provide clear insights to leadership on abuse trends and model performance
A day in the life
You will partner with teams across Amazon's security and operations organizations and work with unique datasets spanning Amazon's global operations. You will pioneer new approaches to security abuse prevention shape and drive measurable business impact through novel ML applications.
Security Abuse Prevention team provides Stores businesses with identity and access management solutions and drive resilience against security abuse. We do this through scalable mechanisms, leveraging automation and AI, while ensuring protection of our customer data and privacy. The team focuses on data collection, correlation, and anomaly identification across Amazon's global logistics network.
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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 Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
#joinbst
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Preferred Qualifications
- Experience in PyApply for this role
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