• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Bachelor's degree

Desirable

• Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much?
• How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today
• The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Data Scientists to answer these questions
• You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level
• The successful candidate will be able to formalize problem definitions from ambiguous requirements, build models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems
• Develop new forecasting models or improve existing approaches using scalable techniques
• Extract data for analysis and model development from large, complex datasets to explain demand trends
• Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production
• Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders
• Drive innovation and best practices in applied research across the Amazon research science community