About the job
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 help 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.
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; 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
Qualifications
Minimum
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; Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Preferred
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 in defining and creating benchmarks for assessing GenAI model performance; Experience applying quantitative analysis to solve business problems and making data-driven business decisions