Data Science - Technical
$106.7k - $138kDepartment of Homeland Security (Agency Wide)
Summary The Department of Homeland Security (DHS) is recruiting professionals to support a range of technical roles in Cybersecurity 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. Learn more about this agency Duties Help There are a variety of Cybersecurity 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), the DHS Office of the Chief Information Officer (OCIO), the Federal Emergency Management Agency (FEMA), the U.S. Immigration and Customs Enforcement Agency (ICE) and the U.S. Secret Service. As a DHS Cybersecurity Service employee in the Technical Career Track, you will continually maintain and share your Cybersecurity 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.
- You must be a U.S. Citizen or national.
- You must be 18 years of age.
- Must be registered for the Selective Service (if you are a male).
- Must be able to obtain and maintain a security clearance. Security clearance levels may vary.
- Must be able to submit to a drug test and receive a negative result.
- Must be able to comply with ethics and standards of conduct requirements, including completing any applicable financial disclosure.
- May be required to serve a 3 year probationary period.
- 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.
- 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.
Vacancy posted 3 days ago
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