Data Scientist, AWS Compliance & Security Assurance

Data Scientist, AWS Compliance & Security Assurance

Job ID: 10443537 | Amazon Web Services, Inc.

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, leveraging advanced analytics, machine learning techniques, and state‑of‑the‑art AI technologies on top of highly complex datasets to transform our security assurance operations.

Key Responsibilities

• Analyze and extract hidden insights from complex, large-scale datasets using advanced statistical and AI techniques.
• Identify high-impact business improvement opportunities and lead the design and execution of data science initiatives.
• Apply statistical and machine learning knowledge to specific business problems and data.
• Leverage Vision Language Models (VLMs) and Large Language Models (LLMs) to analyze document and image structure, perform content understanding and metadata extraction.
• Rapidly prototype and test AI solutions, iterating quickly based on data and feedback.
• Collaborate cross‑functionally to deeply understand business requirements, customer needs, and technical constraints, transforming discovered information into data-driven solutions and actionable recommendations.
• Communicate complex technical concepts to technical and non‑technical stakeholders, presenting compelling insights and evidence-based recommendations to leadership.
• Stay up-to-date on the latest advancements in AI and identify opportunities to apply emerging techniques.
• Collaborate with Business Intelligence, Data Engineers and SDEs to drive the collection of new data and refinement of existing data sources to continually improve data quality.
• Participate in team design reviews, data modeling discussions, brainstorming activities while mentoring colleagues in state-of-the-art AI tools and methodologies.

Basic Qualifications

• 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 data analysis tools and techniques, and understanding of parameters that affect their performance.
• Experience applying theoretical models in an applied environment.
• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Bachelor's degree and 5+ years of data scientist experience.

Preferred Qualifications

• Experience with AWS technologies.
• Experience with one of the following areas: machine learning technologies, reinforcement learning, deep learning, computer vision, natural language processing (NLP) or related applications.
• Experience in a large technology company in an ML or data scientist role.
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
• Experience communicating technical concepts and processes using clear, simple language and visuals.
• Experience with Large Language Models (LLMs) and Vision Language Models (VLMs).
• Experience in text data manipulation.

Location: USA, WA, Seattle

Base salary range: 136,000.00 - 184,000.00 USD annually

Benefits include health insurance, 401(k) matching, paid time off, parental leave, and comprehensive benefits as described at

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.

Posted: June 11, 2026 (Updated about 6 hours ago)