Data Scientist, AWS Security

Overview

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. You'll develop and deploy sophisticated anomaly detection models, predictive algorithms, and real-time analysis systems that identify and automate the mitigation of cyber threats across Amazon's infrastructure. Your expertise in statistical analysis, machine learning, and big data processing will be crucial in building scalable security solutions.

• 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.

• Running experiments to assess potential risk of security responses.
• Expanding our existing LLM agent pipelines.
• Analyzing post mortems to understand what data signals could have prevented the occurrence.

This position involves on-call responsibilities, typically for one week every two months. We strive to ensure that our systems are fault tolerant and minimize paging outside of normal hours. When we do get paged, we collaborate to resolve the root cause so that we don’t get paged for the same issue twice.

• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience with machine learning/statistical modeling and data analysis tools and techniques.
• Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience in a STEM field.

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a ML or data scientist role with a large technology company.
• Experience defining and creating benchmarks for assessing GenAI model performance.
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
USA, VA, Arlington -  -  USD annually.

Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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