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Data Science

4 months ago

Chandler, United States Department of Homeland Security Full time
The Department of Homeland Security (DHS) is recruiting professionals to support a range of technical roles in Data Science, including Data Scientist, Data Engineers, Artificial Intelligence (AI) Specialist, AI Operations Analyst, Data Modeler, Data Security Officer and Operations Research Analyst. All positions are in the DHS Cybersecurity Service.

DHS Cybersecurity Service (DHS–CS) uses a multi–phase assessment process to qualify applicants seeking employment through the DHS–CS. Given the ever–advancing nature of cybersecurity and the ongoing need for cybersecurity talent, DHS–CS uses "Talent Pools" to pull qualified applicants (i.e., individuals who have successfully completed the multi–phase assessment process for their capability and career track/level) for consideration for these jobs.

This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS–CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.

There are a variety of Data Science 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) .

As a DHS Cybersecurity Service employee in the Technical Career Track, you will continually maintain and share your Data Science expertise to perform a range of critical, complex, routine and non–routine tasks, including:

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. Conducting 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. 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. 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. Planning for anticipated changes in enterprise data capacity requirements and effectively allocating storage capacity in the design of new data management systems, technologies, and architectures. Providing 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. Designing and implementing data pipelines for the analysis of cyber data into systems. Structuring, cleaning, enriching, and validating data in preparation for discovery and use. Building and maintaining scalable database architecture and data processing systems.

This position is in the Technical Track across a range of career levels. Employees in this career track generally:

Have between 5–15 years of cybersecurity work experience. Range from experienced cybersecurity professionals who apply technical expertise and independent judgement to perform cybersecurity work – to – recognized Federal cybersecurity technical authorities with uncommon technical expertise who advise on cybersecurity challenged impacting DHS and the Nation. DHS Cybersecurity Service employees with a technical capability in Data Science will generally: Examine data with the goal of providing new insight for the purposes of cybersecurity. Design and implement custom algorithms, flow processes and layouts for complex, enterprise–scale data sets used for modeling, data analytics, and research purposes. Apply understanding of cybersecurity field to inform analytical methodologies and algorithms selected for implementation. Design, build, implement, integrate, and maintain systems and tools for data trend and pattern analysis of cyber data. Apply knowledge of statistics and mathematical theory to develop and integrate new and emerging technologies, such as machine learning and deep learning concepts and techniques. Communicate insights gained to mission user.

DHS Cybersecurity Service employees start at career levels and salaries matching their experience and expertise. In recruiting for this opportunity, DHS may hire employees at higher or lower career levels and associated salaries. To learn more about DHS Cybersecurity Service career tracks and levels, visit our application portal .

This position is focused on Data Science.

DHS Cybersecurity Service jobs are structured cybersecurity specializations – called technical capabilities. To learn more about technical capabilities, visit our application portal .