We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA
Are you excited about leveraging advanced analytics and machine learning to revolutionize Threat Detection at unprecedented scale? Do you want to apply data science techniques to defend against an ever-evolving threat landscape.
Amazon Stores Security's Threat Detection (TD) team is looking for a highly motivated Applied Data Scientist to join our team!
As an Applied Data Scientist on TD, you will develop data pipelines and perform feature engineering to train and deploy sophisticated machine learning models and statistical methods to identify threats across petabyte-scale security data. You will research emerging attack patterns to build predictive models that proactively detect threats before they impact our customers. Working closely with Incident Response, Threat Hunting, Threat Intelligence, and Red team, you will translate threat intelligence into actionable detection algorithms and behavioral models. You'll innovate with the latest techniques in anomaly detection, machine learning, and AI to rapidly identify threats at scale while minimizing false positives. Your data science expertise will be instrumental in defending Amazon's customers against sophisticated and critical threats.
Your work will directly impact the security posture of one of the world's largest technology platforms, protecting customers and business operations through innovative data science applications in cybersecurity.
Key job responsibilities
* Design and implement machine learning models for near-time threat detection across massive scale security datasets
* Develop behavioral analytics and anomaly detection algorithms to identify previously unknown threats and attack patterns
* Build statistical models that correlate multi-source security telemetry to enhance detection accuracy and reduce false positives
* Research and prototype advanced analytics solutions using Machine Learning, deep learning, time-series analysis, and Generative AI for threat detection
* Create data pipelines and feature engineering frameworks to process and analyze security data at petabyte-scale
* Collaborate with security teams to translate attack patterns into detection models
* Measure and optimize detection performance using statistical methods, A/B testing, and feedback loops
* Provide analytical support during security incidents through rapid data analysis and threat modeling
* Develop automated solutions using Python, SQL, and cloud technologies to scale detection capabilities
* Present findings and model insights to drive security strategy decisions
About the team
About Amazon Security
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the 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.
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 & 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.
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.
