The Science Research and Projects Division at MSFC is seeking experienced and visionary Team Leads to manage thematic components of its rapidly growing Earth and Space Sciences Data Informatics portfolio. Candidates will lead teams to apply and innovate a breadth of multidisciplinary informatics, data management and curation, and develop advanced artificial intelligence (AI) and machine learning (ML) tools and techniques for application to myriad science and engineering problems.

Duties

Leads a team to assess community needs for advancing the next generation of approaches to manage, curate, manipulate, and mine large datasets for enhancing science discovery and advancing knowledge. Leads development of Artificial Intelligence (AI)/Machine Learning (ML) tools for advancement of large language models, foundational models to predict complex physical systems, image analysis, big data reduction and new data product development. Leads, enables, and advances NASA’s open science practices related to data collection, reduction, analysis, and advanced visualization, to include software development and documentation across NASA’s science disciplines. Advances cloud-based scientific research and discovery capabilities through enabling science algorithm development and data use. Engages organizations within NASA MSFC, and across NASA’s Science and Exploration Directorates to identify a common repository of Data Science practices and tools toward for use in applications across NASAs science and exploration missions. 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

• Current Federal employees must meet qualifications, time in grade, and 90 days after competitive appointment requirements by the closing date of the announcement.
• If selected, you will be required to complete a financial disclosure statement.
• You must meet qualifications requirements by the closing date of this announcement.

Qualifications

In addition to the Basic Education Requirement (in the Education section below), to qualify for this position you must meet the requirements below and have one year of specialized experience equivalent to the next lower grade, which has equipped you with the particular competencies needed to successfully perform the duties of the position described above. 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. To qualify for GS-14, you must have one year of directly related specialized experience equivalent to the GS-13 level: Utilizing data science tools and cloud computing in an open science framework to enhance discovery, production, or application of NASA's digital resources and science datasets contributing to significant project outcomes; Developing data science tools and processes for effectively processing, presenting, or managing large scientific datasets, information, and related software of a complex science research project; Assessing user needs, developing solutions, or applying data science practices and Artificial Intelligence (AI)/Machine Learning (ML) tools to support science data processing, product creation, modeling and simulation, science discovery, or knowledge management. 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.

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 Marshall Space Flight Center Marshall Space Flight Ctr Huntsville, AL 35811 US
• Name: NASA Shared Services Contact Center
• Phone: 1-877-677-2123
• Email: [email protected]