Amazon Web Services, Inc.
Data Science, Science, amazon security
DataScientist,AWSCompliance&SecurityAssurance
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist, AWS Compliance & Security Assurance at Amazon Web Services, Inc.. Skills: AI, Machine Learning, Data Science. Analyze datasets. Extract insights from datasets”
What You'll Achieve.
Scale security assurance capabilities; Deliver significant business impact
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years data querying languages, 3+ years scripting languages, 3+ years statistical software, 3+ years machine learning modeling, 3+ years data analysis tools, Experience applying theoretical models, Master's degree quantitative field, Bachelor's degree 5+ years experience
Nice to Have
Experience with AWS technologies, Experience machine learning technologies, Experience Reinforcement Learning, Experience Deep Learning, Experience Computer Vision, Experience Natural Language Processing, Experience ML data scientist role, Experience communicating technical concepts, Experience with Large Language Models, Experience with Vision Language Models, Experience in text data manipulation
What You'll Do.
Extract insights from datasets
Identify business opportunities
Lead data science initiatives
Apply statistical knowledge
Analyze document structure
Analyze image structure
Perform content understanding
Perform metadata extraction
Prototype AI solutions
Understand business requirements
Understand customer needs
Transform information
Create data-driven solutions
Create actionable recommendations
Communicate technical concepts
Present recommendations
Stay up-to-date AI advancements
Identify opportunities for techniques
Drive data collection
Participate in design reviews
Participate in data modeling discussions
Participate in brainstorming
How You'll Work.
Team & Collaboration
Cross-functionally; Business Intelligence; Data Engineers; SDEs
Communication Scope
Communicate complex concepts; Communicate technical concepts; Present compelling insights; Present evidence-based recommendations
Process & Methodology
Roadmap planning
Full Job Description
The AWS Compliance & Security Assurance Engineering team builds tools and services that scale AWS's ability to exceed security and compliance expectations for our regulators, auditors, and customers globally. We create efficiencies for our teams while maintaining transparency for our customers. As a Data Scientist on our data team, you'll have a unique opportunity to build solutions that scale security assurance capabilities through AI-driven approaches. You'll leverage advanced analytics, machine learning techniques, and state-of-the-art AI technologies on top of highly complex datasets to transform our security assurance operations. You'll also help shape our data science roadmap, fostering data-driven decision-making and delivering significant business impact through innovative methodologies. The ideal candidate brings a strong background in automation by leveraging GenAI Large Language Models (LLMs), combined with experience analyzing complex datasets and a proven ability to transform business needs into deliverables. If you're passionate about applying AI to security challenges in a dynamic environment that offers startup-like autonomy with enterprise impact, we want to hear from you. Key job responsibilities * Analyze and extract hidden insights from complex, large-scale datasets using advanced statistical and AI techniques, using hands-on expertise in data wrangling and manipulation. * Identify high-impact business improvement opportunities, lead the design and execution of data science initiatives to address them. * Apply statistical and ML knowledge to specific business problems and data. * Leverage Vision Language Models (VLMs) and Large Language Models (LLMs) to analyze document/image structure, perform content understanding and metadata extraction. * Rapidly prototype and test AI solutions, while iterating quickly based on data and feedback. * Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constra
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