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    Data Engineer - Springfield, United States - Parsons Corporation

    Parsons Corporation
    Parsons Corporation Springfield, United States

    3 weeks ago

    Default job background
    Technology / Internet
    Description

    Apply scientific principles from multiple disciplines (e.g., psychology and data science) to advance the science of threat deterrence, detection and mitigation. Develop data analytic models used to deter, detect, and mitigate insider threats, and incrementally integrate, configure, deliver, and maintain counter insider threat applications. When required, they educate stakeholders, provide case support, and liaison with associated professionals to maintain and expand capabilities.

    Parsons is looking for an amazingly talented Insider Threat Behavioral Scientist to join our team In this role you will get to Configure, deliver, and maintain counter insider threat applications.

    What Required Skills You'll Bring:

    • Possess a graduate degree an advanced degree in Mathematical Psychology, Cognitive Psychology, Research Psychology or other related field that emphasizes the application of complex quantitative methods to measure human behavior.
    • Possess a minimum of 12 years of data mining and modeling experience
    • Proficient in one or more of the following software platforms: Python, IBM SPSS Modeler, Natural Language Processing, Large Language Models, Generative AI Applications, and/or User Activity Monitoring applications
    • Advising stakeholders on advanced data mining and technical matters, research, and applications.

    What You'll Be Doing:

    • Innovate and advance the science of counter insider threat and national security psychology by improving existing methods and developing new methods to deter, detect and mitigate potential threats through behavioral science R&D and the application of scientific rigor to current methods.
    • Perform complex data mining tasks involving the application of proven data mining principals, practices, and techniques in the effort to identify anomalous events.
    • Develop and implement statistical models, apply machine learning techniques, and industry best practices.
    • Develop data analytics and visualizations involving the application of proven industry standard data science principals, practices, and techniques in the effort to identify anomalous events and potential insider threats.
    • Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations.
    • Common R&D activities and work products include, but are not limited to:
    • Modeling
    • Policy review
    • White papers
    • Validation studies
    • Executive summaries
    • Project briefings
    • Integrate established and emerging data science and psychological principles and best practices into current and future efforts to deter, detect and mitigate potential threats to the agency by providing expert national security psychology consultation to relevant internal and external stakeholders and mission partners. Examples include, but are not limited to:
    • Provide case support for a variety of stakeholders and mission partners
    • Confer with system users, systems engineers, and mission partners to design, develop and deliver data analytic solutions
    • Provide consultation to leaders and teams regarding the utilization of data science and behavioral analytics
    • Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
    • Communicate innovations, findings, lessons learned and best practices throughout the DoD, IC, and broader community, as appropriate, to aid others in the deterrence detection and mitigation of potential threats.
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