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Maintain situational awareness of cyber activity by reviewing DoD, Intelligence Community and open source reporting for new vulnerabilities, malware or other threats that have the potential to impact the DoDIN.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
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Conduct analysis using serialized threat reporting, intelligence sharing, OSINT, and open-source vulnerability information to develop prioritized plans. Experience with various open-source and commercial vendor portals, services, and platforms related to threat identification or combat.
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Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data.
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Experience in using open-source coding languages for geospatial analysis. The GIS analysis intern will help the City of Boulder further its mission by providing expert technical GIS services and support across the City. Under supervision, the position will implement GIS projects in a range of policy areas and using a variety of analytic techniques.
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The position involves processing and analysis of brain imaging data, including structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), resting state functional MRI (rsfMRI) and Magnetic Resonance Spectroscopy (MRS) datasets using in-house pipelines as well as open-source software.
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Develop and deploy dashboards and reporting to meet Liberty’s needs Perform incident response activities as directed Validate suspicious events and incidents using open-source and proprietary intelligence sources Perform as an escalation point for Tier I and II Analysts, as necessary, related to alerts Standardize and Maintain Incident Response Playbooks Perform forensic analysis on workstations, malware, malicious domains, etc.
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Your role will also include supporting various IT related engagements such as supporting regulatory and compliance requirements (NERC CIP, SOX, PCI-DSS). You will be an active team member in daily Security Operations which includes Incident Monitoring & Response, Web Application Firewall administration, SIEM administration, Threat Intelligence gathering, Threat Hunting, Tabletop Exercise execution, Red & Blue team engagements, and Vulnerability Management, developing hardened configurations, and improving system protection configurations.
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Performing open-source research to identify vulnerabilities using common vulnerability intelligence and vulnerability management applications. Experience related to cyber intelligence or analysis and conducting intelligence analysis in the US intelligence community or wider US Government.
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Familiarity with multiple forensic tools (e.g. SIFT Workstation, Sleuthkit, F-Response Enterprise, EnCase, FTK, Cellebrite, X-Ways, Volatility, or open source tools) to perform analysis and/or memory collection.
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Concentric offers strategic advisory services, risk assessments, physical protection, threat intelligence, open-source monitoring, program audits, secure embedded staffing, and training for security teams and intelligence analysts.
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Canonical is a pioneer in the digital workplace, established in 2004 with a global, remote-first policy that has delivered world-class open source and sets the pace in cloud, developer and IoT technology.
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At least 2 years’ experience in open source programming languages for large scale data analysis. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Demonstrated experience in network vulnerability analysis and penetration testing with both open-source and commercial tools. Demonstrated experience with both static and dynamic malware analysis and the ability to conduct analysis of identified malicious software and code.
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