Amazon Sr Applied Scientist Workforce Intelligence powered Scientific Engineering 

United States, Washington, Seattle 

169329739

Key job responsibilities
Key job responsibilities
* Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams
* Priority management - manage diverse requests and dependencies from teams
* Process improvements – define, implement and continuously improve delivery and operational efficiency
* Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations
* Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations

- 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.