Applied Scientist, Internal Audit
Amazon.com Services LLC•3w ago
United StatesOnsiteFull-time
H-1B verified · 2310 LCAs
Top focus
Applied ScientistData Scientist
- Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns
- surface insights to gain holistic perspectives while amplifying potential risk mitigation. Key job responsibilities - Work with audit teams, product managers, engineers
- more senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity, scale
- complexity. - Design, build
- evaluate agentic AI systems — multi-agent workflows, retrieval-augmented generation
- tool-using agents — that automate and augment audit work, applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality. - Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit. - Architect secure, scalable solutions on AWS machine learning and generative AI services (e.g., Bedrock, AgentCore, SageMaker), owning the full lifecycle from prototype through production deployment, monitoring
- iterative improvement, working closely with auditors to understand their business needs. - Build and maintain the team's production and experimentation infrastructure, including deployment pipelines, observability and tracing
- evaluation harnesses. - Advance applied research by exploring emerging techniques and sharing findings through internal and external publications, talks
- conferences. A day in the life As an Applied Scientist, you will help shape and execute a product roadmap that connects risk to the business, building AI products — increasingly centered on large language models and agentic systems — that make audit work more effective and efficient. Your work spans the full arc of applied science: framing ambiguous problems, prototyping with the latest generative AI techniques, building rigorous evaluations
- deploying solutions in production. The ideal candidate pairs a strong foundation in data science and machine learning with a builder's instinct for production architecture, thrives on ambiguity
- stays close to a fast-moving research frontier. About the team Internal Audit’s mission is to help our businesses improve controllership, operational efficiency
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience building applications with large language models (e.g., prompt engineering, retrieval-augmented generation
- agentic/tool-using workflows).
- Experience implementing algorithms using both toolkits and self-developed code - PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics
- related fields - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience implementing a cloud-based technology solution
- experience architecting/operating solutions built on AWS - Experience designing and running evaluation frameworks for generative AI (e.g., LLM-as-judge, human-alignment measurement, benchmarking output quality). - A track record of applied-research output: publications, conference talks
- patents. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including 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. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Required skills
PythonJavaLLMRAGAWS