COMPUTER SCIENTIST

ASSESSMENT FACTORS

1. Engages the client on routine to complex issues to ensure their needs and those of the organization are met.
2. Anticipates problems and obstacles associated with moderately complex projects and proactively develop creative solutions to address them prior to implementation.
3. Designs solutions that address the complex, sensitive, and multi-faceted issues, thereby maximizing organizational impact.
4. Applies decision making techniques in complex situations to include anticipating and recognizing best practices and choosing options to maximize benefits to the office, directorate, or Agency.
5. Develops innovative, cost effective solutions to address difficult, sensitive or complex issues.

HIGHLY DESIRED SKILLS


1. Define, designs, develops, tests, and implements innovative applications, systems, data solutions, and other capabilities for OIG stakeholders and partners using platforms such as Python, Microsoft Power BI/Apps, and AI leading technologies.
2. Builds, refines, and executes analytic designs, dashboards, and visualizations for complex problems that directly support OIG mission requirements. Strong SQL coding skills and dashboard development skills are desirable.
3. Ability to document and cross-train other members of the team and partner with internal and external stakeholders on tool development and selection that will advance OIG strategic goals and objectives. This includes, but is not limited to AI and related leading edge technologies.

Individual Occupational Requirements Series Definition:

This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences.

Basic Requirements:

Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.

Evaluation of Education:

Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.