Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is seeking a Data Scientist to leverage advanced analytics and machine learning for protecting cloud infrastructure from security threats. The role involves developing anomaly detection models and collaborating with engineers to analyze security data and automate risk assessments.

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 occurence

Skills

• 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)
• 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

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave
• Flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs
• Flexible work hours and arrangements

Company Overview

Company H1B Sponsorship