Applied Scientist: Real-Time Cloud Security & ML

Socket.dev; Arlington (VA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Security in Arlington, VA seeks an Applied Scientist to develop and deploy anomaly detection models and real-time analysis systems for cyber threat mitigation. You will collaborate with engineers and scientists to analyze security data, expand LLM pipelines, and translate analytics into actionable security insights.

The role emphasizes AWS tech, Python proficiency, and a strong ML/statistics background, with flexible hours and on-call responsibilities as part of a distributed team.

Qualifications

• 3+ years building models for business applications.
• PhD, or MS with 4+ years of CS/CE/ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Analyze large-scale security data using statistical methods and data mining techniques.
• Create automated systems for real-time pattern recognition and risk assessment.
• Build data pipelines and ETL processes to handle massive security datasets.
• Translate complex analytical findings into actionable security insights.

Skills

Java

C++

Python

Data mining

Algorithms

Education

PhD or MS in CS/CE/ML or related field

Tools

Unix/Linux

Software development

Job description

Amazon Security in Arlington, VA seeks an Applied Scientist to develop and deploy anomaly detection models and real-time analysis systems for cyber threat mitigation. You will collaborate with engineers and scientists to analyze security data, expand LLM pipelines, and translate analytics into actionable security insights.

The role emphasizes AWS tech, Python proficiency, and a strong ML/statistics background, with flexible hours and on-call responsibilities as part of a distributed team.