Computer Scientist, AST, Computer Research and Development (Direct Hire)

Job Description

Serves as a Computer Scientist within the Information, Data, and Analytics Service Line (IDAS). You will architect systems that process and model data efficiently for advanced analytics. You will design and oversee the implementation of scalable, secure, and efficient technology solutions that align with NASAs strategic goals. Engage with users to understand and automate their data workflows, and work closely with product managers to deliver high-quality data products.

In addition to the Basic Education Requirement (in the Education section below), to qualify for this position you must meet the requirements below. Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.

To qualify for GS-14, you must have one year of directly related specialized experience equivalent to the GS-13 *****

  1. Providing guidance on the development and implementation of advanced applications and utilizing best practices for Data Architecture, Data Engineering, Data Analytics, and Data Visualization;
  2. Managing, evaluating, and analyzing large data sets to identify gaps and inconsistencies to improve data quality and produce accurate data products;
  3. Communicating technical concepts in multi-disciplinary scientific, engineering, and business domains while working across organizational boundaries, conducting technical presentations, and preparing reviews.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement, or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job. NASA prohibits the use of artificial intelligence (AI) or AI-assisted tool in drafting application and assessment responses.

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Recommended Skills

  • Artificial Intelligence
  • Automation
  • Big Data
  • Communication
  • Data Analysis
  • Data Quality