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Gaithersburg

    Data Scientist - Gaithersburg, United States - National Institute of Standards and Technology

    National Institute of Standards and Technology
    National Institute of Standards and Technology Gaithersburg, United States

    1 week ago

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    Description
    Summary
    NIST works with industry and science to advance innovation and improve quality of life. We're looking for a Data Scientist to join our team

    This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
    Duties

    Inform the DEIO Director and staff on technical tools, methodologies, and resources for conducting studies and analyzing DEIO-related information to drive Agency buy in.

    Apply expert knowledge of mathematical, statistical theories, techniques, and methods to gather, analyze, design and construct processes for analytical modeling, reporting quantitative and qualitative information, trends, relationships, and correlations among or within DEIA data.

    Prioritize a Data Modeling roadmap to deliver outcomes and quickly identify leverage points in complex workforce problems. Define clear and actionable problem statements to deliver results while displaying a comprehensive understanding of optimized data models.

    Use data-driven methods to identify challenges by conducting predictive and root cause analysis to develop practical courses of action and timely solutions that influence organizational and individual barriers which preclude diversity, equity, inclusion, and accessibility within NIST.

    Collaborates with Office of Human Resource Management (OHRM) to develop metrics and evaluation frameworks to measure the impact of the DEIO's initiatives and activities.

    Manage equity programming by providing updates and tracking agency external-facing performance and impact actions that drive economic and equitable outcomes in response to Executive Order Maintains a commitment to remaining updated on emerging trends, research, and data- driven best practices in the field of DEIA and Belonging.

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