There is one (1) position that may be filled from this announcement in any of the geographical locations listed.

Duties

At the Band IIB, the incumbent serves as a Sr. Biological Scientist / Sr. General Engineer / Sr. Physical Scientist providing research and analysis toward technology assessments, technical performance audits, and technology and/or engineering / physical science / biological science related engagements. 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, robotics process automation (RPA), dimension reduction, geospatial analyses, entity resolution, rules-based queries, 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; Integrated Development Environment (IDE) and analytics platforms such as RStudio, SageMaker, RapidMiner, SAS, and Domino Data Lab; open-source solutions such as Kibana, Kubernetes, and elastic search; commercial off-the-shelf tools such as Informatica and Neo4j; and hardware-based capabilities such as Graphics Processing Units (GPU). 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 engagement 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.

Requirements

Qualifications

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 Scripts), Integrated Development Environment (IDE) and analytics platforms (such as RStudio, SageMaker, RapidMiner, SAS, and Domino Data Lab), open-source solutions (such as Kibana, Kubernetes, and elastic search), commercial off-the-shelf tools (such as Informatica and Neo4j) and hardware-based capabilities (such as Graphics Processing Units). by 5/5/2024 (effective date of promotions).

Education

This position has a positive education requirement. To qualify you must meet the requirements for either occupational series listed below. Transcripts to verify your education should also be submitted with your application.

General Engineering Series, 0800 (includes 801):

A. Degree: Successful completion of a professional engineering degree. To be acceptable, the program must: (1) lead to a bachelor's degree (or higher) in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET); or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position.

OR

B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:

1. Professional registration or licensure - Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For more information about EI and EIT registration requirements, please visit the National Society of Professional Engineers website at: http://www.nspe.org
2. Written Test - Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico. The FE examination is not administered by the U. S. Office of Personnel Management. For more information, please visit: http://www.nspe.org/Licensure/HowtoGetLicensed/index.html.
3. Specified academic course - Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and in engineering that included the courses specified in the basic requirements under paragraph A (above). The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A (above)
4. Related curriculum - Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of bachelor's degree in engineering, provided the applicant has had at the least 1 year of a professional engineering acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of extensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.)

Mathematical Statistics Series, 1529:

You must meet one of the following:

• Degree -- that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics; OR
• Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in Degree, plus appropriate experience or additional education.

Contacts

• Address Government Accountability Office Human Capital Office 441 G Street NW Washington, DC 20548 US
• Name: Ebonye Watson
• Email: [email protected]