Data Scientist, Forecasting and Labs - CIV Team
Amazon
DESCRIPTION
Are you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and techniques to solve world's most challenging problems in? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail?
Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it.
The Consumer Instock Value (CIV) team within Amazon's Supply Chain Optimization Technology (SCOT) Group develops and manages systems that estimate the long-term impact of inventory availability and delivery speed changes at the product level. Our estimates are crucial inputs for multiple production systems across Amazon's supply chain planning, helping teams make critical decisions about inventory management, selection, and placement.
Key responsibilities of a Data Scientist in CIV Team include:
- Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation
- Working with technical and non-technical customers to design model improvements and communicate results
- Collaborating with our dedicated software team to create production implementations for large-scale data analysis
- Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
- Presenting research results to our internal research community
- Leading training and informational sessions on our science and capabilities
- Your contributions will be seen and recognized broadly within Amazon, contributing to the Amazon research corpus and patent portfolio.