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    Data Analyst - Albuquerque, United States - Air Force Research Laboratory

    Air Force Research Laboratory
    Air Force Research Laboratory Albuquerque, United States

    1 week ago

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    Description
    Job Overview

    This job announcement will be accepting candidate submissions until 10 January 2024. Resumes must be in DD/MMM/YYYY format.


    The Air Force Research Laboratory's Atomic Long-range Systems branch (AFRL/RVBN) seeks a highly motivated and experienced mid-career professional to lead data analysis efforts supporting hardware ground/flight testing, modeling and simulation efforts and system/subsystem performance estimations (pre and post).

    Primary focus will be identifying the tools required and establishing and implementing the engineering/analysis processes needed across a range of nuclear R&D efforts.

    These will directly support requirements and system architecture development of experimental nuclear systems as well as test planning.

    Position duties include, but are not limited to:

    Develop and utilize tools (Matlab, STK, etc.) to support system and subsystem performance analyses (Covariance and Monte Carlo).

    Develop Matlab and Python (or other language) tools to process and analyze "big data" sets of both simulated and flight strategic system R&D data.

    6-DOF Trajectory modeling and calculation of the flight performance parameters, including dynamic pressure, heating rate, drag, and energy depletion rate.

    Support systems engineering in the implementation of all of the test requirements, test plan data, procedure data, and test results data.

    Participate in test planning for qualification and future system studies
    Serve as a technical interface between RVBN, stakeholders, contractors, end-users, suppliers, and test organizations
    Support creation and maintenance of flight models for development and integration efforts on current and future programs

    Telework

    Yes, this position is eligible for telework opportunities; as determined by agency policy

    Remote Work (CONUS)

    No, this position is not approved for remote work.

    Required Qualifications

    US Citizenship
    Bachelor's degree in Statistics, Mathematics, Engineering, or related field from an accredited academic institution
    Applicants must have at least one year of specialized experience at the DR-02/GS-13 or equivalent grade level.

    Specialized experience is experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled.

    To be creditable, specialized experience must have been equivalent to at least the next lower grade level in the normal line of progression for the occupation in the organization.

    Demonstrated experience in data analysis of large engineering, complex assembly, research, and/or development programs
    Strong math/statistics education or experience
    Significant knowledge of analysis tools (SW) and practices utilized for complex systems
    Experience in error covariance analysis methods Monte Carlo analysis and high accuracy inertial measurement system modeling and analysis
    Familiarity with relevant classification guidance and demonstrated commitment to USAF goals in upholding safeguards for classified information
    Applicants must currently hold, or have the ability to obtain, a DOD TS/SCI clearance

    Desired Qualifications

    Knowledge of launch vehicle and/or strategic missile guidance, navigation, and control principles from guidance system turn-on, ground operations, through launch and payload insertion
    Experience and knowledge in principles of Model Based System Engineering (MBSE) with an understanding of SysML and/or DoDAF
    Experience with testing of integrated complex mission systems including space, ground, strategic and other system elements.
    Effective communication, facilitation, and collaboration skills, necessary to present, explain, and advise technical/program management and/or external sponsors
    Ability to promote and maintain productive relationships across directorates, with other laboratories, and with personnel from external entities
    Familiarity with basic principles associated with the design, development, qualification, certification, assembly, production, surveillance, and/or testing of nuclear components or delivery systems

    (Requisition No

    Series

    0801

    0861

    1301

    1310

    1501

    1515

    1529

    1530
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