About the position
The Amazon DSO team is focused on forecasting demand and managing supply of all Amazon Devices using Machine Learning (ML) and big data. This team operates in a 'startup' mode to prove new business ideas while strengthening core platforms. They utilize the latest ML and predictive modeling technologies to build a common modeling framework for DSO science teams, enabling them to extract valuable information for the business. The role involves designing systems that handle large amounts of data and train numerous models, addressing device-related challenges within inventory management functions such as demand forecasting, pricing, and allocation. The goal is to achieve high automation levels, enhancing customer satisfaction and directing expertise towards strategic decisions with lasting implications.
Responsibilities
- Forecast demand and manage supply of Amazon Devices using Machine Learning and big data.
- Design and develop software systems for demand forecasting, pricing, and allocation.
- Build a common modeling framework for DSO science teams.
- Work on complex problems involving large data sets and model training.
- Automate processes to assess tradeoffs in pricing and promotion strategies.
Requirements
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience of new and existing systems.
- Experience programming with at least one software programming language.
Nice-to-haves
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
