Applied Scientist, AWS Security
Core
Develop and deploy anomaly detection models, predictive algorithms, and real-time analysis systems to identify and automate mitigation of cyber threats across Amazon's cloud infrastructure.
Role type
Applied Scientist (Security & ML)
Builds
Scalable security solutions, automated risk assessment systems, and LLM agent pipelines for threat detection.
Domain
Cloud Security / Machine Learning / Big Data
Deliverable
production ML models
Required skills
Statistical analysis, Machine learning, Big data processing, Python, Algorithms and data structures, Data mining, Parallel and distributed computing, Numerical optimization
Preferred skills
Unix/Linux, Professional software development
Technologies
Amazon SageMaker, EMR, LLM agents
Responsibilities
Analyze large-scale security data using statistical methods and data mining; Create automated systems for real-time pattern recognition and risk assessment; Build data pipelines and ETL processes for massive security datasets; Translate complex analytical findings into actionable security insights; Run experiments to assess potential risk of security responses; Analyze post mortems to understand data signals that could have prevented security occurrences.
Seniority
Mid-Senior level (PhD or Master's + 4 years)