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Form of workDCSA's Program Executive Office (PEO) is seeking an experienced Data Scientist/Computer Scientist to serve on applied and advanced R&D programs on a wide variety of efforts. In this role, the incumbent will also research AI, and investigate/integrate NLP algorithms to enhance machine learning enabled data processing capabilities. This is an excellent opportunity for those with experience in Data Science as it relates to the protection of cleared personnel and critical technologies.Qualifications: This position has a Basic Requirement for the 1550:
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.
- 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.
The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 (opm.gov)for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 12/18/2023
Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.
You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade (GS/GG-12) in the Federal service and are prepared to take on greater responsibility.
Generally, this would include one year or more of such specialized experience.
Specialized experience for this position includes:
Specialized experience for this position includes principles of data science, data engineering, and/or data architecture. This experience is typically demonstrated by evidence of development of AI/ML/NLP constructs/algorithms using python; experience using statistical software such as SPSS or SAS; experience using robotic process automation (RPA) software such as UiPath; and/or experience designing and/or implementing cloud based big data stores optimized for AI.
Specifically you will be evaluated on the following competencies:
1.Data Analysis - Manipulate and exploit internal and external, structured, and unstructured data sources to accomplish organizational goals.
2.Modeling and Simulation - Apply tools, techniques, and procedures to develop functional, physical, or prototype models and simulations for training, testing and evaluation, the prediction of behavior and phenomena, the evaluation of design alternatives, to support operational preparation, and to visually communicate concepts and/or validate requirements.
3. Programming Languages - Use programming languages to script and automate tasks; applies programming languages and skills across multiple platforms or frameworks.
4. Software Engineering - Designs software utilizing the software life cycle process; develops, deploys, updates, maintains, and tests software using methodologies and tools; designs to leverage software reusability; and establishes and utilizes software engineering metrics.
5. Systems Design - Design and evaluate software and hardware and develops enterprise and solution architectures that meet user needs and optimize performance, using applicable principles, methods, and tools.Education: Substitution of education may not be used in lieu of specialized experience for this grade level.
Must have a 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.Employment Type: FULL_TIME
