There are two (2) positions that may be filled from this announcement.
In addition to the education requirement, you must have one year (52 weeks) of GAO experience equivalent to the next lower band level (PE-IIA, PT-II, PT-III, PA-II, MS-I) applying data science competencies, including data imputation methodologies, dimension reduction techniques, complex entity resolution, natural language processing techniques, network/graph analyses, supervised and unsupervised machine learning methods, visualization, model/data governance, and user-centric design. You must also demonstrate mastery in using common data science tools, including scripted languages (such as R, Python, SQL, and Java Script), and Integrated Development Environment (IDE) and analytics platforms (such as RStudio and SageMaker) by 5/18/2025 (effective date of promotions).
At the Band IIB, the incumbent serves as a Sr. Data Scientist providing technical leadership on data science projects. Duties of Band IIB staff involve, but are not limited to, the following: Leads execution of projects throughout the innovation lifecycle from ideation through deployment to develop next generation advanced analytics capabilities in support of current and future audits, investigations, business operations, and other oversight challenges relevant to GAO's mission. As necessary, the incumbent will work with experts outside GAO to determine leading practices for advanced analytics. Demonstrates expert level understanding of diverse data science techniques including: Machine Learning (ML, including supervised, unsupervised, and adversarial), natural language processing (NLP, including sentiment classification and topic modeling), deep learning, graph-based network modeling, advanced visualizations, descriptive statistics, and other statistical/mathematical/analytical methods. The incumbent needs to demonstrate how ensembles of these techniques can be harmonized into cohesive, user-centric solutions. Demonstrates expert level experience in using common data science tools, including scripted languages such as R, Python, SQL, and Java Scripts; and Integrated Development Environment (IDE) and analytics platforms such as RStudio and SageMaker. Demonstrates expert level understanding of cloud-based Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) capabilities. The incumbent will also direct implementations and configurations of tools and other computational resources within established information security boundaries. Provides expert advice, guidance and support to teams across GAO on advanced analytics and related areas. Identifies key deficiencies in problem statements and/or proposed approaches or data access issues which are significant to the design, execution, and reporting out of advanced analytics pilots of the Innovation Lab.