As an AST, Computer Scientist (Data Analysis) with the Information, Data, and Analytics Service Line (IDAS) you will leverage NASA data analytics infrastructure to build systems that process data efficiently and model data to power analytics. You will engage with users to understand and automate data workflows, while working closely with product managers to identify high impact initiatives that will further NASA's mission by providing technologies that produce high-quality data products.

Duties

Duties described below are at the highest grade advertised. Duties assigned at lower grade levels will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee. Engage with Mission and Mission support users to understand their requirements and automate data processing workflows. Construct, test, and maintain data architectures such as databases and large-scale data processing systems. Ensure that data is accessible and in a usable format for analysis, supporting data-driven decision-making. Work closely with data scientists, analysts, and information technology specialist teams to develop data ingestion routines from various sources and ensures that these systems are scalable, secure, and optimized for performance. Use statistical and analytical tools to review and interpret data, and to determine the appropriate amount of data that would be needed to support conclusions with specific levels of statistical confidence. Work closely with product managers to identify high impact initiatives that would contribute to NASAs mission. Support the establishment of data engineering practices in collaboration with other senior engineers. Evaluate and integrate products and technologies that can be leveraged by data engineers, data scientists and data analysts to build mature data products. Foster a culture of engagement, diversity, inclusiveness, excellence and innovation. Champion NASA's commitment to Diversity, Equity, Inclusion and Accessibility to create an environment that promotes a commitment to safety, integrity, and teamwork.

Requirements

• This position is open to U.S. citizens, nationals or those who owe allegiance to the U.S.
• You must meet qualifications requirements by the closing date of this announcement.
• Position subject to pre-employment background investigation or higher-level clearance. Investigation/Clearance may differ and be required based on the duty location/NASA Center requirements.
• Financial Disclosure, Drug Testing, Bargaining Unit and/or the Travel Requirements for this position may differ and be required based on the duty location/NASA Center requirements.
• Selected applicant(s) must be assigned to a duty location listed on the announcement.
• This position may require a one-year probationary period.

Qualifications

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. NASA utilizes OPM-approved qualification and rating requirements specific for Aerospace Technology (AST) positions which recognizes NASA's unique aerospace work. The specific qualifications and minimum education requirements are further described below and within the education section of the job announcement. GS-09: To qualify at the GS-09 level, you must have: a) One year of directly related specialized experience equivalent to the GS-07 level: Assisting in the analysis and application of concepts and best practices in at least one of the following areas: Data Architecture, Data Engineering, Data Analytics, or Data Visualization; Assisting a team in reviewing data sets to identify inconsistencies, improve data quality, and/or develop data products. OR b) Completed all requirements for a master's or equivalent graduate degree in an appropriate field OR c) Completed 2 full academic years of graduate education in an appropriate field OR d) Have an equivalent combination of experience and graduate study as discussed in a), b) and c) above GS-11: To qualify at the GS-11 level, you must have: a) You must have one year of directly related specialized experience equivalent to the GS-09 level: Assisting in the analysis and application of concepts and best practices for Data Architecture, Data Engineering, Data Analytics, and Data Visualization; Assisting in the analysis of data sets to identify gaps and inconsistencies, improve data quality, and develop data products. OR b) Completed all requirements for a doctoral degree (i.e., Ph.D. or equivalent) in an appropriate field OR c) Completed 3 full academic years of graduate education in an appropriate field OR d) Have an equivalent combination of experience and graduate study as discussed in a), b) and c) above GS-12: To qualify at the GS-12 level, you must have one year of directly related specialized experience equivalent to the GS-11 level: Applying concepts and best practices for Data Architecture, Data Engineering, Data Analytics, and Data Visualization; Organizing and analyzing data sets to identify gaps and inconsistencies, improve data quality, and develop data products; Working across diverse organizations to conduct technical presentations and prepare technical 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. Please visit https://www.nasa.gov/careers/how-to-apply/#Artificial-Intelligence to review NASA's guidance on the use of AI tools during the application process. Required college majors for applicants qualifying on the basis of undergraduate education only (GS-9 & GS-11): Computer Engineering. Other majors will qualify if the major includes or is supplemented as follows: a. Computer Science and Pure Mathematics are fully qualifying for Data Analysis, Modeling and Theoretical Simulation Techniques positions without further course requirements. For Data Systems, Hardware Systems and Software Systems positions, Computer Science and Pure Mathematics are qualifying if the major includes or is supplemented by 12 semester hours (or the equivalent) in appropriate Physical Science or Engineering courses and includes or is supplemented by at least two courses shown under "b.2." b. Applied Mathematics is qualifying if includes or is supplemented by at least two of the following courses: 1. For Data Analysis, Modeling and Theoretical Simulation Techniques: numerical methods (or numerical analysis); linear algebra, theory of equations, differential equations, mathematical statistics (if six semester hour course), operating systems, theory of computation, computer networks, programming languages, data structures, data base management, computer graphics, compiler construction, computer architecture, software engineering. 2. For Data Systems, Hardware Systems and Software Systems: electronics, electrical networks, solid-state physics (for transistors, tapes, etc.), optics (for simulation), electricity and magnetism, computer organization, logic design, control systems, communication theory. c. Other appropriate physical science and engineering majors are qualifying if the major includes or is supplemented by six semester hours (or the equivalent) in Mathematics beyond Basic Calculus and includes or is supplemented by at least two courses shown above under "b."

Education

Basic Education Requirement: You must have successfully completed a bachelor's degree with a major in one of the following:
a) Engineering from a college or university that has ABET accredited engineering programs
b) Physical Science, Mathematics, Life Science or other field of Science
c) Computer Science that included 30 semester hours or 45 quarter hours of course work in any combination of mathematics, statistics and computer science with at least half of those hours in mathematics and statistics courses that included differential and integral calculus; and that provided an in-depth knowledge of theoretical and practical applications of computer science, including digital computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations.

If you did not complete a qualifying bachelor's degree, you may be eligible if you have obtained a graduate degree in an AST qualifying field, as listed above.

Degrees in engineering technology are not considered qualifying for this position.

Engineering degrees earned within the United States: Engineering degrees earned within the United States must be from a college or university that has at least one ABET accredited engineering program. To find out if a school has at least one ABET accredited program, please visit http://www.abet.org.

Engineering degrees earned outside the United States: Engineering degrees earned outside the United States must be recognized by a Mutual Recognition Agreement (MRA), often known as accords. These are non-governmental agreements among organizations that accredit academic degree programs. MRAs recognize the substantial equivalence of mature accreditation systems and programs accredited by signatory organizations within their jurisdictions. For a listing of Signatories, please visit, https://www.abet.org/global-presence/mutual-recognition-agreements/is-your-program-recognized/.

Science and other related degrees earned within the United States: Science and other related degrees must have been awarded from colleges or universities that are accredited by recognized accrediting organizations. For a list of schools that meet this criteria, go to http://ope.ed.gov/accreditation/.

Science and other related degrees earned outside the United States: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs. These education credentials must be deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.

All degrees must have been received in the year of, or any year subsequent to the original date of accreditation.

Contacts

• Address NASA Headquarters 300 E St SW Washington, DC 20546 US
• Name: NASA Shared Services Contact Center
• Phone: 1-877-677-2123
• Email: [email protected]