Amazon Applied Scientist 

United States, Washington, Seattle 

222393608

Main responsibilities
- Use statistical and machine learning techniques to create scalable risk management systems- Design, development and evaluation of highly innovative models for risk management- Working closely with operations staff to optimize risk management operations
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Research and implement novel machine learning and statistical approaches

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 3+ years of hands-on predictive modeling and large data analysis experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Communication and data presentation skills
- Problem solving ability

- A PhD in Computer Science, Machine Learning, Statistics or in a highly quantitative field
- 3+ years of industry experience in predictive modeling and large data analysis
- Strong skills with Python/Spark (or similar scripting language), Java/C++ and SQL
- Strong problem solving and dive deep ability
- Strong communication, writing and data presentation skills