Duties

There are a variety of Security System Operations and Maintenance opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA), DHS Office of the Chief Information Officer (OCIO), and the Federal Emergency Management Agency (FEMA).

Depending on your career level and role, DHS Cybersecurity Service employees in the Leadership Career Track, with a technical capability in Data Science, will generally apply their expertise to perform a range of tasks, including:

• Managing teams applying knowledge of essential cybersecurity policies to data management to develop data standards, policies, and procedures to facilitate and implement data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis.
• Leading hypothesis testing using statistical processes applying quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design) to assess the validity of source data and develop strategic insights from large data sets.
• Proactively collaborating with systems analysts, engineers, and programmers to design applications integrating data from several disparate sources that is stored using different technologies to provide a unified view of the data.
• Assisting subordinate employees using a variety of tools, including Google Analytics, to monitor web data, log data, and threat data analytics, to provide a managed flow of relevant information based on cybersecurity mission requirements.
• Overseeing teams and programs analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
• Managing anticipated changes in enterprise data capacity requirements and effectively allocating storage capacity in the design of new data management systems, technologies, and architectures.
• Working with DHS HQ and/or Component experts to provide technical and nontechnical support to collect metrics and trending data using enterprise data management systems (e.g., SPLUNK) and cloud-based systems (e.g., AWS).
• Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
• Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
• Customizing communications on designing and implementing data pipelines for the analysis of cyber data into systems for different levels of leadership and audiences for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
• Supervising others in structuring, cleaning, enriching, and validating data in preparation for discovery and use.
• Leading others in building and maintaining scalable database architecture and data processing systems.