Vacancy expired!
- Responsible for collecting and interpreting data, analyzing results, and reporting the results back to the relevant members of the business
- Identify patterns and trends in Cybersecurity data sets
- Identifies problematic areas and conducts research to determine the best course of action and develops recommendations.
- Uses experience in visualization techniques to drive model results and depict relevant process trends.
- Demonstrates analytic capabilities with an understanding of correlation, optimization, and time series analysis.
- Demonstrates a strong understanding of analysis and computational complexity and ability to programmatically solve.
- Engage directly with cybersecurity SMEs to identify and define use-cases and requirements.
- Engage in continuous data reporting improvement activities to facilitate faster risk responses
- Provide actionable information to enable agency leadership to make risk-based decisions to fix critical problems first
- Work with Cybersecurity analysts and Report Developers to support the development of processes and technologies that solve cybersecurity problems.
- Bachelor's degree or higher in Computer Science, Data Science, or Statistics
- Relevant experience as a data scientist, data analyst, and data engineer applying predictive modeling techniques and analytics to develop actionable insights
- Possesses strong knowledge of security research, statistics, programming, data mining, machine learning, algorithms, and advanced mathematics.
- Significant experience working with relational databases and associated query/extraction languages.
- Programming skills such as in Python and SQL
- SQL language proficiency and Some noSQL familiarity
- Experience designing schemas and database structures.
- Understanding of data modeling.
- Understanding of data management (e.g. permissions, security and monitoring).
- Experience extracting, converting and loading data into relational structures.
- Snowflake (nice to have, not required)