Amazon Applied Scientist II Automated Inventory Management 

United States, Washington, Bellevue 

71350452

You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy, and raise the profile of Amazon as a global leader in machine learning.Key job responsibilities
Key job responsibilities include:
• Conduct primary research and build tools to perform what-if scenarios, causal prediction, and design policies for increasing retention.
• Work closely with other research scientists, machine learning experts, and economists globally to design new frameworks for understanding business outcome and what impacts customer experiences.
• Evaluate short term and long term business outcomes of our policy on customer experience and cost to serve.
• Design, implement and evaluate models, agents and software prototypes
• Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements.• Raise the bar of scientific research by innovating and publishing

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development