Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$150,000 and above
IT - Data Science
Lorton, VA (On-Site/Office)
Data Analyst - Intelligence
Location: Springfield, VA or Lorton, VA
Clearance Required: TS/SCI and ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Position Summary:
The selected candidate will be responsible for the following:
A. Deliver comprehensive data analysis, review, and investigative support to the DHS Insider Threat Program (ITP) within the ITOC, ensuring effective detection of potential threats and anomalous behavior across the enterprise.
B. Examine, analyze, and search insider threat data to identify patterns, trends, and indicators associated with potential malicious activity or compromised behavior.
C. Develop and produce actionable analytics to support the Department of Homeland Security (DHS) in identifying individuals exhibiting harmful behavior toward themselves or the organization.
D. Assess compromise vectors and behavioral indicators; extrapolate findings to identify similarly affected individuals across the enterprise.
E. Provide technical strategies for threat containment and eradication of advanced insider threats.
F. Collaborate with Government personnel to create advanced correlation rules and triggers within the Enterprise User Activity Monitoring (UAM) platform.
G. Provide a timely response to critical/high UAM alerts (within 4 hours during normal business hours and provide after-hour support). Normal business hours will be defined as 6am to 10pm Monday – Friday excluding weekends and scheduled holidays. Implement corrective actions to restore normal operations and prevent recurrence. Be available for on- call after-hours support as needed to the Analyst
teams.
Required Qualifications:
• Bachelor’s degree in Data Analytics, Computer Science, Information Technology, Statistics, Cyber Security, or related field and (4) + years of prior relevant data science experience or Masters with (2) + years of prior relevant experience.
• Minimum of 4 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling.
• Minimum of 4 years demonstrated knowledge of the intelligence cycle, processes, and organizations.
• Minimum of 4 years demonstrated experience creating advanced correlation rules and triggers within the Enterprise User Activity Monitoring (UAM) platform.
• Familiarity with tools for data manipulation and analysis.
• Experience with visualization tools to create dashboards and reports.
• Understanding of cybersecurity principles including insider threat detection, network security, and data protection.
• Experience with user and entity behavior analytics (UEBA) tools or platforms.
• Strong SQL skills for querying databases and extracting relevant data.
• Ability to apply statistical methods to identify patterns, anomalies, or trends in data.
• Familiarity with machine learning for predictive modeling.
• Understanding of insider threat indicators, such as unauthorized access, data exfiltration, or policy violations.
• Experience with cloud-based tools (AWS or Azure) for data analysis is a plus.
• Have excellent written and verbal skills with the ability to deliver briefings to technical and non-technical stakeholders, including Security, Counterintelligence and HR.
• Possess knowledge of current domestic and international threats to U.S. national security interests.
• Be adept at establishing networks with relevant security, personnel, and prevention stakeholders to foster program utilization.
• Be a self-starter capable of working independently to promote program goals.
• Advanced knowledge of User Activity Monitoring products and platforms.
• Advanced knowledge of Cybersecurity toolsets designed to support ITP mission activities.
• Experience with cloud-based tools (AWS or Azure) for data analysis is a plus.
• Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Preferred Qualifications:
• Master’s degree from an accredited college or university in Computer Science, Information Technology, Statistics, or related field
• Proven experience (10+ years) in Behavioral Analytics
• Experience with User Activity Monitoring products and platforms
Location: Springfield, VA or Lorton, VA
Clearance Required: TS/SCI and ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Position Summary:
The selected candidate will be responsible for the following:
A. Deliver comprehensive data analysis, review, and investigative support to the DHS Insider Threat Program (ITP) within the ITOC, ensuring effective detection of potential threats and anomalous behavior across the enterprise.
B. Examine, analyze, and search insider threat data to identify patterns, trends, and indicators associated with potential malicious activity or compromised behavior.
C. Develop and produce actionable analytics to support the Department of Homeland Security (DHS) in identifying individuals exhibiting harmful behavior toward themselves or the organization.
D. Assess compromise vectors and behavioral indicators; extrapolate findings to identify similarly affected individuals across the enterprise.
E. Provide technical strategies for threat containment and eradication of advanced insider threats.
F. Collaborate with Government personnel to create advanced correlation rules and triggers within the Enterprise User Activity Monitoring (UAM) platform.
G. Provide a timely response to critical/high UAM alerts (within 4 hours during normal business hours and provide after-hour support). Normal business hours will be defined as 6am to 10pm Monday – Friday excluding weekends and scheduled holidays. Implement corrective actions to restore normal operations and prevent recurrence. Be available for on- call after-hours support as needed to the Analyst
teams.
Required Qualifications:
• Bachelor’s degree in Data Analytics, Computer Science, Information Technology, Statistics, Cyber Security, or related field and (4) + years of prior relevant data science experience or Masters with (2) + years of prior relevant experience.
• Minimum of 4 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling.
• Minimum of 4 years demonstrated knowledge of the intelligence cycle, processes, and organizations.
• Minimum of 4 years demonstrated experience creating advanced correlation rules and triggers within the Enterprise User Activity Monitoring (UAM) platform.
• Familiarity with tools for data manipulation and analysis.
• Experience with visualization tools to create dashboards and reports.
• Understanding of cybersecurity principles including insider threat detection, network security, and data protection.
• Experience with user and entity behavior analytics (UEBA) tools or platforms.
• Strong SQL skills for querying databases and extracting relevant data.
• Ability to apply statistical methods to identify patterns, anomalies, or trends in data.
• Familiarity with machine learning for predictive modeling.
• Understanding of insider threat indicators, such as unauthorized access, data exfiltration, or policy violations.
• Experience with cloud-based tools (AWS or Azure) for data analysis is a plus.
• Have excellent written and verbal skills with the ability to deliver briefings to technical and non-technical stakeholders, including Security, Counterintelligence and HR.
• Possess knowledge of current domestic and international threats to U.S. national security interests.
• Be adept at establishing networks with relevant security, personnel, and prevention stakeholders to foster program utilization.
• Be a self-starter capable of working independently to promote program goals.
• Advanced knowledge of User Activity Monitoring products and platforms.
• Advanced knowledge of Cybersecurity toolsets designed to support ITP mission activities.
• Experience with cloud-based tools (AWS or Azure) for data analysis is a plus.
• Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Preferred Qualifications:
• Master’s degree from an accredited college or university in Computer Science, Information Technology, Statistics, or related field
• Proven experience (10+ years) in Behavioral Analytics
• Experience with User Activity Monitoring products and platforms
group id: 91135725
