Amazon Sr Applied Scientist Amazon Business 

United States, Washington, Seattle 

942901424

You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will have leadership skills, proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have the ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes.Key job responsibilities
• Contribute to supplier operations strategy development based on science models and data analysis
• Develop models to measure long term impact of seller behaviors
• Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.
• Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems.
• Design, development and evaluation of highly innovative models for forecast, optimization and experimentation.
• Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.
• Contribute to Amazon's Intellectual Property through patents and internal and external publicationsA day in the life

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.