Data Scientist

US National Nuclear Security Administration; Washington (District of Columbia); On-site; USD 130,000 - 170,000; Full time

Job summary

The US National Nuclear Security Administration is seeking a Senior Data Scientist to lead the development and application of advanced data science, AI/ML, statistical analysis, and enterprise analytics. You will support NNSA's statutory responsibilities for independent cost estimating, program evaluation, strategic planning, and enterprise decision-making.

Qualified candidates should demonstrate experience in designing predictive models, data governance, and enterprise analytics across large

Qualifications

• 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.
• Your application and resume should demonstrate that you possess the following competencies.

Responsibilities

• Lead development and application of advanced data science, AI/ML, statistical analysis, and enterprise analytics to support strategic decision-making.
• Oversee integration of data sources, design predictive models, and develop analytic tools for complex organizational problems.

Skills

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

Job description

Serves as the Senior Data Scientist for CEPE, leading the development and application of advanced data science, artificial intelligence, machine learning, statistical analysis, and enterprise analytics supporting NNSA's statutory responsibilities for independent cost estimating, program evaluation, strategic planning, and enterprise decision-making.

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.

• 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.