Amazon.com Services LLC is looking to solve business and technical problems related to data-based decision making, product performance optimization, and product performance tracking through the development and implementation of data science solutions.
Requirements
- building statistical models and machine learning models using large datasets from multiple resources;
- building complex data analyses by leveraging scripting languages including Python, Java or related scripting language;
- communicating with users, technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools to support the organization.
Responsibilities
- Own the data science elements of various products to help with databased decision making, product performance optimization, and product performance tracking.
- Initiate the design, development, and implementation of scientific analysis projects or deliverables.
- Own the analysis, modelling, system design, and development of data science solutions for products.
- Translate business problems and products into data requirements and metrics.
- Write documents and make presentations that explain model/analysis results to the business.
- Bridge the degree of uncertainty in both problem definition and data scientific solution approaches.
- Build consensus on data, metrics, and analysis to drive business and system strategy.
Other
- Work directly with product managers to help drive the design of the product.
- Work with Technical Product Managers to help drive the build planning.
- 100% telecommuting permitted, work may be performed from anywhere in the U.S.
- Master's degree or foreign equivalent in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation.
- Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience.
