Worldwide Amazon Stores Finance Science (ASFS) leverage science and economics to drive improved financial results, foster data driven decisions, and embed science within Finance. ASFS is focused on developing science products that empower controllership, improve business decisions and financial planning, and innovate science capabilities for efficiency and scale.
We are looking for a data scientist to grow their skills in the entire machine learning lifecycle. The role will lead high visibility initiatives for controllership and financial anomaly detection. The ideal candidate will be an innovative problem solver with strong business acumen, leveraging techniques such as machine learning, statistics, forecasting and large language models to transform Amazon Stores' financial reporting and controllership capabilities. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.
Key job responsibilities
- Develop science models to enhance controllership, also forecast, classify, and detect anomalous patterns in financial data.
- Work with technical and non-technical customers across every step of data science project life cycle.
- Collaborate with our dedicated product, data engineering, and software development teams to create production implementations for large-scale science applications.
- Develop an understanding of key business metrics / KPIs and provide clear, compelling analysis that shapes the direction of our business.
- Present research results to our internal science community.
