Job Requirements
Annapolis Junction, MD
Intel Agency (NSA, CIA, FBI, etc) Polygraph None
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI to be considered.
Summary:
• Perform advanced cyber threat hunting, statistical analysis, and predictive model building across Big Data Platforms.
• Analyze complex network traffic, develop intuitive data visualizations, and evaluate high-volume data feeds.
• Translate cyber operational requirements into automated capabilities, tools, and actionable data products.
Qualifications & Compensation:
• Degree: Technical master's degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $323k+ yearly
Job Description:
• Conduct cyber threat hunt operations across enterprise Big Data Platforms and present interactive findings to stakeholders.
• Leverage statistical analysis, hypothesis testing, and machine learning models to uncover hidden cyber threat patterns.
• Synthesize diverse data streams into coherent data visualizations and dashboards using tools like Power-BI and Superset.
• Develop and deploy threat detection signatures utilizing SNORT, SIGMA, Yara, and YAML.
• Perform deep network traffic analysis using tools including TCP-DUMP, Wireshark, and Zeek.
• Query and manipulate large-scale datasets using SQL, KQL, and Python.
• Integrate and optimize telemetry within SIEM and SOAR environments such as Splunk and cloud-native solutions.
• Collaborate with operational teams to define requirements, bridge operational gaps, and deliver system training.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Perform advanced cyber threat hunting, statistical analysis, and predictive model building across Big Data Platforms.
• Analyze complex network traffic, develop intuitive data visualizations, and evaluate high-volume data feeds.
• Translate cyber operational requirements into automated capabilities, tools, and actionable data products.
Qualifications & Compensation:
• Degree: Technical master's degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $323k+ yearly
Job Description:
• Conduct cyber threat hunt operations across enterprise Big Data Platforms and present interactive findings to stakeholders.
• Leverage statistical analysis, hypothesis testing, and machine learning models to uncover hidden cyber threat patterns.
• Synthesize diverse data streams into coherent data visualizations and dashboards using tools like Power-BI and Superset.
• Develop and deploy threat detection signatures utilizing SNORT, SIGMA, Yara, and YAML.
• Perform deep network traffic analysis using tools including TCP-DUMP, Wireshark, and Zeek.
• Query and manipulate large-scale datasets using SQL, KQL, and Python.
• Integrate and optimize telemetry within SIEM and SOAR environments such as Splunk and cloud-native solutions.
• Collaborate with operational teams to define requirements, bridge operational gaps, and deliver system training.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119