Data Scientist, Demand Forecasting

Description

What does it take to build a foundation model that can forecast demand for hundreds of millions of products — including ones that have never been sold before?At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied time series research: building large-scale foundation models that generalize across an enormous and diverse catalog of products, geographies, and business contexts. This is not incremental modeling work. We are redefining what's possible in demand forecasting.

Basic Qualifications

- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience- Bachelor's degree

Preferred Qualifications

- Knowledge of machine learning concepts and their application to reasoning and problem-solving- Experience applying quantitative analysis to solve business problems and making data-driven business decisions