Data Science Director jobs in Mississippi

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.

• Building and applying an understanding of cybersecurity data management to develop data standards, policies, and procedures facilitating and implementing data mining and data warehousing programs to collect, clean, convert and standardize complex data for analysis.
• Conducting routine 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 seeking opportunities to collaborate 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.
• Supporting plans for changes in enterprise data capacity requirements and effectively allocating storage capacity in the design of new data management systems, technologies, and architectures.
• 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.

This position is in the Developmental Track at the Associate Cybersecurity Specialist career level. At this level, individuals generally:

• Have 3 years of cybersecurity work experience
• Can serve as a cybersecurity professional with some experience who applies still–burgeoning technical expertise to perform routine work with significant supervision and clear guidance.

DHS Cybersecurity Service employees with a technical capability in Cybersecurity 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.