Ph3Data Scientist, AWS Compliance Security Assurance /h3 pJob ID: | Amazon Web Services, Inc. /p pThe 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. /p h3Key Responsibilities /h3 ul liAnalyze and extract hidden insights from complex, large-scale datasets using advanced statistical and AI techniques. /li liIdentify high-impact business improvement opportunities and lead the design and execution of data science initiatives. /li liApply statistical and machine learning knowledge to specific business problems and data. /li liLeverage Vision Language Models (VLMs) and Large Language Models (LLMs) to analyze document and image structure, perform content understanding and metadata extraction. /li liRapidly prototype and test AI solutions, iterating quickly based on data and feedback. /li liCollaborate cross‑functionally to deeply understand business requirements, customer needs, and technical constraints, transforming discovered information into data-driven solutions and actionable recommendations. /li liCommunicate complex technical concepts to technical and non‑technical stakeholders, presenting compelling insights and evidence-based recommendations to leadership. /li liStay up-to-date on the latest advancements in AI and identify opportunities to apply emerging techniques. /li liCollaborate 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. /li liParticipate in team design reviews, data modeling discussions, brainstorming activities while mentoring colleagues in state-of-the-art AI tools and methodologies. /li /ul h3Basic Qualifications /h3 ul li3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, MATLAB). /li li3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and understanding of parameters that affect their performance. /li liExperience applying theoretical models in an applied environment. /li liMaster's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Bachelor's degree and 5+ years of data scientist experience. /li /ul h3Preferred Qualifications /h3 ul liExperience with AWS technologies. /li liExperience with one of the following areas: machine learning technologies, reinforcement learning, deep learning, computer vision, natural language processing (NLP) or related applications. /li liExperience in a large technology company in an ML or data scientist role. /li liExperience communicating across technical and non-technical audiences, including executive level stakeholders or clients. /li liExperience communicating technical concepts and processes using clear, simple language and visuals. /li liExperience with Large Language Models (LLMs) and Vision Language Models (VLMs). /li liExperience in text data manipulation. /li /ul pLocation: USA, WA, Seattle /p pBase salary range: 136,000.00 - 184,000.00 USD annually /p pBenefits include health insurance, 401(k) matching, paid time off, parental leave, and comprehensive benefits as described at /p pAmazon 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. /p pbPosted: /b June 11, 2026 (Updated about 6 hours ago) /p /p #J-18808-Ljbffr