Applied Scientist, Internal Audit

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading generative 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, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.

Key job responsibilities
- Work with audit teams, product managers, engineers, and more senior scientists to contribute to machine learning and generative AI products that have degrees of ambiguity, scale, and complexity.
- Perform statistical analyses and modeling using SQL and scripting languages like Python/R with big data to develop insights and recommendations to improve internal audit cycles.
- Assist in architecting secure and scalable solutions leveraging AWS machine learning, AI and Generative AI related services, working closely with auditors to understand their business needs.
- Contribute to the full development cycle of machine learning models and generative AI solutions: design, prototype, impact assessment, A/B testing, production deployment, maintenance, and improvement.
- Help maintain the team's ML Infrastructure, including production and experimentation environments.
- Collaborate with software development engineers on scientific projects.

A day in the life
As an Applied Scientist, you will contribute to the design and execution of a product roadmap that connects risk to the business. You will help build products and services centered around large language models to improve audit effectiveness and efficiency. The ideal candidate will have a strong foundation in data science and AI, with the potential to grow into an expert in production architecture. We're looking for a self-starter who is comfortable with some ambiguity, has strong attention to detail, and can work effectively in a dynamic environment. This role offers an exciting opportunity for a motivated individual to grow their skills in AI and contribute to impactful projects in a dynamic environment.

About the team
Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience. - 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 implementing algorithms using both toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.