Amazon Senior Applied Scientist Workforce Solutions 

United States, Washington, Seattle 

911393083

Key job responsibilities
• Candidates will be responsible for developing solutions to better manage and optimize flexible labor capacity. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. As a senior scientist, you will also help coach/mentor junior scientists on the team.
• In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead science initiatives for strategic optimization and capacity planning. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems.
• Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
• Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.
• Apply mathematical optimization techniques and algorithms to design optimal or near optimal solution methodologies to be used for labor planning.
• Research, prototype, simulate, and experiment with these models and participate in the production level deployment in Python or Java.

- 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.