Today
Top Secret/SCI
Senior Level Career (10+ yrs experience)
IT - Data Science
Springfield, VA (On-Site/Office)•Lorton, VA (On-Site/Office)
Data Scientist - Intelligence
Location: Springfield, VA or Lorton, VA
Clearance Required: Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Position Summary:
The selected candidate will be responsible for the following:
A. Provide comprehensive data science support to advance the objectives of the DHS Insider Threat Program (ITP) within the ITOC, specifically to integrate disparate data sources, generate actionable intelligence, and deliver visualization capabilities that enable stakeholders to swiftly identify and mitigate threats.
B. Shall have data science expertise to support a government-procured behavioral analytics platform.
C. Shall design and lead advanced, multifaceted analytic correlation across large, complex datasets to uncover indicators and observables of insider threats.
D. Shall conduct exploratory data analysis using mathematical and statistical techniques grounded in the scientific method.
E. Coordinate research across structured and unstructured data sources, applying programming languages (e.g., Python) to clean, normalize, and structure data for analysis.
F. Conduct experimentation on data inputs to reveal latent patterns, generate insights, and propose innovative solutions to complex data challenges.
G. Partner with engineering teams to build a secure, scalable DHS data environment populated by inputs from Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
H. Develop prioritization frameworks and process schedules for data-centric projects.
I. Identify and resolve root causes of data-related issues, define key data assets, and build models aligned with long-term architectural strategy for enterprise data platforms.
J. Provide engineers with advanced integration capabilities to support disparate security sensors and systems.
K. Leverage Python to access and manipulate SOAP/REST Application Programming Interfaces (APIs) for seamless data ingestion across platforms.
L. Ensure robust API integrations to unify external threat and system logs into the analytical ecosystem.
M. Employ advanced analytical techniques to process and analyze large volumes of IT system log data.
N. Detect insider threats, Advanced Persistent Threats (APTs), and other cyber intrusions by applying customized methodologies to user/system log files, legacy IT management systems, and emerging analytics technologies.
O. 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 Science, Computer Science, Information Technology, Statistics, mathematics, or related field with (6) + years of prior relevant data science experience or Masters with (4) + years of prior relevant experience.
• Must be a US citizen with an active TS/SCI with ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
• Minimum of 6 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling.
• Minimum of 6 years demonstrated knowledge of the intelligence cycle, processes, and organizations.
• Familiarity with machine learning techniques, particularly unsupervised learning from anomaly detection.
• Strong programming skills in languages such as Python for data manipulation and analysis
• Experience using data visualization tools.
• Knowledge of SQL for querying and managing large datasets.
• Experience with cloud-based tools (AWS or Azure) for training and operationalizing machine learning models is a plus.
• Ability to work with large, complex datasets from multiple sources.
• 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.
Preferred Qualifications:
• Master’s degree from an accredited college or university in Data Science, Computer Science, Information Technology, Statistics, Mathematics, or related field
• Proven experience 10+ years in Data Science field
• Experience with User Activity Monitoring products and platforms
Location: Springfield, VA or Lorton, VA
Clearance Required: Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
Position Summary:
The selected candidate will be responsible for the following:
A. Provide comprehensive data science support to advance the objectives of the DHS Insider Threat Program (ITP) within the ITOC, specifically to integrate disparate data sources, generate actionable intelligence, and deliver visualization capabilities that enable stakeholders to swiftly identify and mitigate threats.
B. Shall have data science expertise to support a government-procured behavioral analytics platform.
C. Shall design and lead advanced, multifaceted analytic correlation across large, complex datasets to uncover indicators and observables of insider threats.
D. Shall conduct exploratory data analysis using mathematical and statistical techniques grounded in the scientific method.
E. Coordinate research across structured and unstructured data sources, applying programming languages (e.g., Python) to clean, normalize, and structure data for analysis.
F. Conduct experimentation on data inputs to reveal latent patterns, generate insights, and propose innovative solutions to complex data challenges.
G. Partner with engineering teams to build a secure, scalable DHS data environment populated by inputs from Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
H. Develop prioritization frameworks and process schedules for data-centric projects.
I. Identify and resolve root causes of data-related issues, define key data assets, and build models aligned with long-term architectural strategy for enterprise data platforms.
J. Provide engineers with advanced integration capabilities to support disparate security sensors and systems.
K. Leverage Python to access and manipulate SOAP/REST Application Programming Interfaces (APIs) for seamless data ingestion across platforms.
L. Ensure robust API integrations to unify external threat and system logs into the analytical ecosystem.
M. Employ advanced analytical techniques to process and analyze large volumes of IT system log data.
N. Detect insider threats, Advanced Persistent Threats (APTs), and other cyber intrusions by applying customized methodologies to user/system log files, legacy IT management systems, and emerging analytics technologies.
O. 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 Science, Computer Science, Information Technology, Statistics, mathematics, or related field with (6) + years of prior relevant data science experience or Masters with (4) + years of prior relevant experience.
• Must be a US citizen with an active TS/SCI with ability to obtain DHS EOD SCI and willingness to undergo CI Polygraph.
• Minimum of 6 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling.
• Minimum of 6 years demonstrated knowledge of the intelligence cycle, processes, and organizations.
• Familiarity with machine learning techniques, particularly unsupervised learning from anomaly detection.
• Strong programming skills in languages such as Python for data manipulation and analysis
• Experience using data visualization tools.
• Knowledge of SQL for querying and managing large datasets.
• Experience with cloud-based tools (AWS or Azure) for training and operationalizing machine learning models is a plus.
• Ability to work with large, complex datasets from multiple sources.
• 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.
Preferred Qualifications:
• Master’s degree from an accredited college or university in Data Science, Computer Science, Information Technology, Statistics, Mathematics, or related field
• Proven experience 10+ years in Data Science field
• Experience with User Activity Monitoring products and platforms
group id: 91135725
