Data Scientist

As a Data Scientist you will: Lead development and application of advanced data science, machine learning, statistical analysis, and predictive analytics supporting enterprise decision-making. Develop enterprise data architecture, integrate structured and unstructured data sources, establish governance standards, and improve data quality.

Develop AI-enabled analytic capabilities supporting strategic planning, supply chain analysis, digital twins, scenario planning, and enterprise modeling and simulation. Provide authoritative technical leadership while collaborating across organizations and communicating complex analytical findings to executive leadership.

Specialized Experience To qualify for a NQ-4 (GS-15) position, a qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower NNSA Demonstration Project pay band or GS grade level in the Federal service, i.e., NQ-03 or GS-14.

An applicant that demonstrates experience applying advanced data science, machine learning, statistical analysis, computational modeling, and enterprise analytics to solve complex organizational problems.

Experience must include designing predictive models, integrating multiple data sources, developing analytic tools, and communicating technical findings supporting strategic decision-making. Experience with enterprise data governance, AI/ML, cloud or large-scale data environments, and classified or highly sensitive information is highly desirable.

Your application and resume should demonstrate that you possess the following competencies. Do not provide a separate narrative written statement. Rather, you must describe in your application how your past work experience demonstrates that you possess the KSAs identified below.

Cite specific examples of employment or experience contained in your resume and describe how this experience has prepared you to successfully perform the duties of this position. DO NOT write "see resume" in your application!

Artificial Intelligence Attention to Detail Customer Service Data Management Decision Making Flexibility Influencing/Negotiating Integrity/Honesty Interpersonal Skills Learning Reasoning Research Self-Management Stress Tolerance Teamwork Technical Competence "Experience" refers to paid and unpaid experience.

Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations.

Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

You must meet all qualifications and eligibility requirements by the closing date of this announcement.