Amazon Data Scientist CS Security Threat Engineering Development 

United States, Washington, Seattle 

403752783

Seattle, WA, USAWe are looking for a Data Scientist to join our Threat Engineering and Development team. As a Data Scientist, you will complement our strengths and apply your data science skills, and tradecraft, to analyze terabytes of user behavior data, to detect threatening behaviors. You will build threat detection models and algorithms, which will be used to detect attacks and raise security investigations. You need to be highly motivated, eager to learn and be curious, and resourceful in finding novel ways to analyze data in order to produce actionable threat indicators.This is a highly visible role that requires partnering with multiple organizations, security, and technology teams in order to extract the intelligence and effect change. You should have the experience and capability to create and present documentation to champion security causes. Excellent written and verbal communication skills are essential. You should be experienced in working with data to analyze and detect trends, outliers, and have advanced analytical, mathematical, and quantitative abilities.
Key job responsibilities
- Design and run experiments, research new algorithms, and find new ways to improve detection of fraudulent activities.
- Foster a culture of continuous engineering improvement through mentoring, feedback, and metrics.
- Manipulating/mining data from databases
- Providing analytical network support to improve quality and standard work results.
- Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
- Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.- Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment