Data Scientist
Social Security Administration
Summary IT Specialist (Data Scientist) positions are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens. Selections made under this bulletin will be processed as new appointments to the civil service. Current civil service employees would, therefore, be given new appointments to the civil service. Under the provisions of the Direct Hire Authority, Veterans Preference and the "Rule of Many" do not apply. Learn more about this agency Duties Help
- 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.
- U.S. Citizenship required
- Selective Service Registration, if applicable (
- 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.
- 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.
Vacancy posted more than 2 months ago
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