WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You'll design and implement automated end-to-end ML and statistical forecasting solutions that aim to transform financial planning for Amazon Stores.
The ideal candidate will be an innovative problem solver with strong business judgment, leveraging techniques such as machine learning, time series forecasting, and statistics to advance Amazon Stores' financial planning 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
Drive model development and improvement through machine learning and/or statistics techniques to create scalable solutions for business problems
Design, develop and evaluate new models for forecasting problems
Work with technical and non-technical stakeholders across every step of science project life cycle
Collaborate with finance, product, data engineering, and software engineering teams to build models and algorithms
Develop an understanding of key business metrics/KPIs and connect them to levers that shape management decisions
