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Nasa Data Scientist Jobs (NOW HIRING)

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques ...

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques ...

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques ...

Department of Energy and NASA facilities. BWXT's technology is driving advances in medical ... As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques ...

The Artificial Intelligence Group (see ai.jpl.nasa.gov) works on fundamental research problems leading to unique software applications in spacecraft autonomy, scientific data analysis, and mission ...

... NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has ... Your Role As a founding Data Scientist for Procure-to-Pay (P2P) at Zip, you'll collaborate ...

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NASA Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do nasa data scientist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for nasa data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some typical projects or challenges a NASA Data Scientist might work on?

NASA Data Scientists often work on projects involving the analysis and interpretation of large-scale datasets from satellites, space probes, or scientific experiments. Common challenges include handling massive data volumes, ensuring data quality, and developing algorithms to detect patterns or anomalies relevant to space missions. Teams are highly collaborative, often bringing together experts in science, engineering, and data analytics to solve complex problems. Working as a NASA Data Scientist offers opportunities to contribute to mission planning, planetary research, climate studies, and the advancement of data-driven technologies in aerospace.

What are the key skills and qualifications needed to thrive in the Nasa Data Scientist position, and why are they important?

To thrive as a NASA Data Scientist, you need a solid background in data analysis, statistics, programming (often in Python or R), and a relevant degree such as computer science, engineering, or physics. Familiarity with big data platforms, machine learning frameworks, and space-specific data systems like NASA’s PDS or remote sensing tools is common. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary research teams and present complex findings clearly. Mastering these competencies ensures you can extract meaningful insights from large datasets and contribute to pioneering space missions and research.

What is a NASA Data Scientist job?

A NASA Data Scientist analyzes complex datasets from space missions, Earth observations, and scientific simulations to extract meaningful insights. They use machine learning, statistical methods, and programming to interpret data from satellites, telescopes, and experiments. Their work supports space exploration, climate studies, and aerospace research. Data Scientists at NASA collaborate with engineers, researchers, and mission teams to solve critical challenges and improve decision-making.

What cities are hiring for Nasa Data Scientist jobs? Cities with the most Nasa Data Scientist job openings:
What are the most commonly searched types of Nasa Data Scientist jobs? The most popular types of Nasa Data Scientist jobs are:
What states have the most Nasa Data Scientist jobs? States with the most job openings for Nasa Data Scientist jobs include:
Infographic showing various Nasa Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance Natio...

Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance Natio...

Old Dominion University

Norfolk, VA • On-site

Full-time

Posted 26 days ago


Old Dominion University rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

283rd of 534 rated colleges and universities


Job description

Posting Details
Posting Details
Job Title
Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance National Security
Department
RESILIENCE CLUSTER HIRE
Position Number
F1052A
Job Description
The School of Data Science at Old Dominion University invites applicants for an annual 10-month position at Assistant/Associate/Full Professor rank as part of a multi-position hiring cluster aiming for the Critical Infrastructure and Data Transformation to Advance National Security to begin in Fall 2026. This is an annual 10-month appointment that will begin July 25, 2026. The cluster, with faculty hires in School of Data Science, Batten College of Engineering and Technology and Office of Enterprise Research and Innovation, integrates interdisciplinary research in resilient infrastructure, infrastructure data transformation, and secure smart systems to address national security challenges in coastal regions. It explicitly addresses the Old Dominion University's Strategic Plan in research areas including Coastal Resilience and National Security. The research in this cluster will be supported by five interrelated, cross-cutting research domains, including Artificial Intelligence & Machine Learning, Computational & Data Science, Cybersecurity & Network Security, and Modeling & Simulation.
Candidates will be considered for appointment at all ranks contingent upon appropriate qualifications. We seek faculty that to develop/maintain a vibrant, externally funded interdisciplinary research program in artificial intelligence (AI)/machine learning (ML) and data science with a primary focus on application on critical infrastructure and national security, including but not limited to:
  • AI-Enabled Digital Twins for Critical Infrastructure or Coastal Resilience
  • Edge Intelligence for autonomous sensing and decision making
  • Secure & Trustworthy AI
  • AI-Driven Resilience Forecasting for Critical Assets
  • Human - AI Decision Support
  • AI for cyber-physical threat detection and response
  • Foundation Models for Integrated National-Security Intelligence and coastal resilience

The focus of this cluster is to leverage cutting-edge data science and artificial intelligence to protect critical assets and strengthen national security, particularly in the coastal regions. The research of this cluster is expected to advance research that enable earlier warnings, faster responses, and greater resilience to both natural hazards and national security threats.
The appointee is expected to teach undergraduate and graduate courses and collaborate with other faculty in School of Data Science, Batten College of Engineering & Technology, and Office of Enterprise Research and Innovation. The appointee is encouraged to establish collaborations with the newly formed Brock Virginia Health Sciences, as well as scientists at the nearby federal research facilities such as Thomas Jefferson National Accelerator Facility (Jefferson Lab), NASA Langley Research Center (LaRC) and Navy Surface Warfare Center in the Hampton Road Region.
Position Type
FullTime
Type of Recruitment
General Public
Type of Recruitment
General Public
Minimum required education and/or special licenses, registrations, trainings, or certifications
A Ph.D. or equivalent in Data Science, Computer Science, Machine Learning, Engineering, Mathematics, or a closely related field is required.
Candidates applying for a senior faculty appointment (Associate Professor or Professor) must have academic records that merit a tenured appointment in the School of Data Science.
Minimum required level and type of experience, knowledge, skills, and abilities
Preferred Qualifications
  • A strong publication record in data sciences/AI/ML.
  • Strong record of externally funded grants.
  • Excellent skills to interact and communicate clearly with internal and external constituencies

Conditions of Employment
Location
Norfolk, VA
Job Open Date
09/15/2025
Application Review Date
11/15/2025
Open Until Filled
Yes
Application Instructions
Interested candidates must complete the online application at https://jobs.odu.edu/postings/24063 including the following:
  1. A cover letter of application.
  2. A curriculum vitae.
  3. Research Statement
  4. Teaching philosophy
  5. Maximum of three samples of scholarly work.
  6. Unofficial graduate transcripts.
  7. The names and contact information for three professional references.

Applications should be submitted by November 15, 2025, for full consideration. The positions will remain open until filled. Questions about these positions should be directed to Dr. Murat Kuzlu (mkuzlu@odu.edu), Chair of the Critical Infrastructure and Data Transformation (CID) to Advance National Security Cluster Hire.
Telework Friendly
No
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757)683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor's legal duty to furnish information.
About the College
About the School of Data Science: As one of the three academic units in the Interdisciplinary Schools at Old Dominion University, the School of Data Science is a new initiative that focuses on educating students in the rapidly growing field of data science, conducting cutting-edge research and serving as a center of AI education and research in the University community. Since its establishment in spring 2023, the school has grown to include ten core faculty members and over 80 affiliated faculty members across the campus, with wide range of active research projects from bioinformatics, web science, survey data science to scientific machine learning, explainable AI and generative AI. Faculty of the School of Data Science actively collaborate with researchers from renowned facilities such as Jefferson Lab (sponsored by Department of Energy), NASA's Langley Research Center, Hampton Roads Biomedical Research Consortium (HRBRC), Mason and Joan Brock Virginia Health Sciences (VHS, formerly EVMS), and ODU's Office of Enterprise Research and Innovation (OERI). https://www.odu.edu/datascience
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