Scientific Programmer IV

Cherokee Federal

About The Position

Cherokee Nation System Solutions, LLC is seeking a Scientific Programmer IV to architect and deploy advanced computational systems and AI/ML frameworks. This role is responsible for the end-to-end lifecycle of scientific data, from secure cloud ingestion to the deployment of predictive models in high-performance computing environments.

Requirements

This position requires an active Public Trust clearance or the ability to obtain a Public Trust clearance to be considered.
Familiar with standard concepts, practices, and procedures within scientific programming or computational science.
A BS/BA in scientific programming or computational science, or related field, or an equivalent combination of education and experience
5-6 years of full-time professional experience, preferably in a federal agency setting
Must pass pre-employment requirements of Cherokee Federal

Responsibilities

Works with users to identify current operating procedures and clarify program objectives.
Outlines steps required for program development, including diagrams and charts.
Writes program documentation and operations guidelines.
Provides technical guidance to lower-level analyst/programmers.
Requires comprehensive knowledge of programming techniques, networked and centralized operating systems, and the capabilities of enterprise database products and development suites.
May team with external consultants in the development of unique applications that meet requirements.
Requires detailed and comprehensive knowledge of employer's applications and systems.
A wide degree of creativity and latitude is expected. Requires proficiency in programming languages.
Converts scientific, engineering, and other technical problem formulations to formats that can be processed by computer.
Resolves symbolic formulations, prepares flowcharts and block diagrams, and encodes resultant equations for processing by applying extensive knowledge of branches of science, engineering, or advanced mathematics, such as differential equations or numerical analysis, and understanding of capabilities and limitations of computers.