Amazon Applied Scientist BRP Buyer Risk Prevention 

United States, California, San Diego 

647164536

Key job responsibilities
Use machine learning and statistical techniques to create scalable risk management systemsDesign, development and evaluation of highly innovative models for risk managementWorking 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 implementationResearch and implement novel machine learning and statistical approaches

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 2+ years of building models for business application experience
- 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

- A PhD in CS, Machine Learning, Statistics, Operations Research or relevant field
- 5+ years of industry experience in predictive modeling and analysis
- Strong Machine Learning breadth and depth
- Strong skills with SQL Strong skills with Spark/Python/Perl (or similar)
- Ability to think creatively and solve problems
- Good written and spoken communication skills
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams