Clarification from the agency

All U.S. Citizens

• This announcement serves as public notice. Applications submitted be placed into a pool and will remain on file for selection as positions become available.
• Vacancies may be filled for up to 6 months after the closing date of this announcement. Applicants may not receive notifications of referral status until the full 6-month eligibility period has elapsed.
• Positions filled with applications from this pool will be placed into positions where artificial intelligence duties occupy the majority of the work performed.

Conditions of employment

• U.S. Citizenship required
• Selective Service Registration, if applicable (www.sss.gov)
• Fingerprinting and background and/or security investigation may be required
• Job offers are contingent on fingerprinting and background / security investigation results
• Selectees may be required to serve a 1 year probationary period
• Relocation expenses will not be paid
• All qualification requirements must be met by the closing date of the announcement
• Candidates will not be hired based on their race, sex, color, religion, or national origin.

Qualifications

Resumes exceeding two pages in length will not be considered, please visit the new resume guidance for more information.

Duties:

• Architect, develop, and maintain advanced analytics solutions using Python, R, and SQL on enterprise data platforms.
• Design and implement machine learning models, including generative AI and agentic AI solutions, to support business objectives.
• Clean, transform, and manage large datasets from diverse sources, ensuring data integrity and reliability.
• Optimize SQL queries and database operations for efficient data access and processing.
• Develop, fine-tune, and deploy AI models (such as generative and large language models) and agentic AI systems for automation, content generation, and decision support.
• Visualize data and communicate findings through dashboards, reports, and presentations using tools such as matplotlib, ggplot2, and Power BI.
• Collaborate with business analysts, IT professionals, and stakeholders to deliver innovative, data-driven solutions.
• Prepare and maintain technical documentation, including data dictionaries, model specifications, and user guides.
• Participate in code reviews and uphold best practices for quality, reproducibility, and security.
• Support data validation, testing, deployment, and post-implementation activities in a fast-paced environment.

• Attention to Detail - Is thorough when performing work and conscientious about attending to detail.
• Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; know about available products and services; and is committed to providing quality products and services.
• Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.
• Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

• Leading or performing hands-on data analysis, modeling, and visualization using Python and/or R, or demonstrating a strong commitment to learning and advancing in this area.
• Advanced proficiency in SQL for data extraction, transformation, and database management in large-scale enterprise environments.
• Applying solid knowledge of statistical methods, machine learning algorithms, and data wrangling techniques to solve complex business problems.
• Developing and deploying AI models, including generative and agentic AI systems (e.g., unsupervised learning, neural networks, GPT, diffusion models).
• Utilizing frameworks and libraries for generative and agentic AI, such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or similar.
• Working with large-scale enterprise datasets and cloud-based data platforms to support data-driven decision making.
• Creating and interpreting data visualizations using tools and libraries such as matplotlib, seaborn, ggplot2, and Tableau.
• Demonstrating strong analytical, troubleshooting, and problem-solving skills in a collaborative, cross-functional team environment.
• Communicating complex technical concepts clearly and effectively in both written and verbal formats to technical and non-technical stakeholders.
• Applying knowledge of the software development life cycle (SDLC), Agile methodologies, and version control systems (e.g., Git) to manage and deliver data science and AI projects.
• Implementing or supporting data governance, privacy, and security best practices.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

The evaluation you receive is based on your responses to the online assessment questions completed during the application process.

Please make sure you answer all questions and follow all instructions carefully. Errors or omissions may affect your evaluation.

Information not specifically stated in your resume cannot be assumed. Information that is copied or restated language from the vacancy announcement or rating criteria will not be considered. If this occurs, you may be found ineligible.

You must also submit ALL supporting documentation by the closing date of the vacancy announcement to claim certain types of preference.

Resumes exceeding two pages will not be considered. To be considered, your resume must:

• Clearly demonstrate your qualifications for the position
• Include your contact information

We recommend using a clear, easy-to-read format and focusing on information most relevant to the job announcement

You must also submit ALL supporting documentation by the closing date of the vacancy announcement to claim certain types of preference.

• proof of eligibility with your application. Such proof may include a copy of your written notification of ICTAP eligibility or a copy of your separation Notice of Personnel Action, (SF-50); and
• proof of your most recent performance rating of at least "fully successful" (Level III) or equivalent.

Next steps