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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 ... Your Day to Day as a Data Scientist, Computer Vision: * Lead end to end Computer Vision ...

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 ...

Caltech is a world-renowned science and engineering institute that marshals some of the world ... using data from observatories in space and on the ground, including the NASA Exoplanet Archive.

... nation for DOE/NNSA, NASA, and the Department of Defense. The W93 Systems Development and ... At the Scientist 2 level, you will lead the planning, execution, and status reporting for product ...

Director, Technical Services - NASA Reports To: SVP, NASA Location: Houston, TX Important: This is ... Cybersecurity, Data Science, or Technical Support role. Candidates should have experience in ...

Strategic Technical Advisor - NASA

WV · On-site +1

$102 - $138/hr

... data analytics and more. GDIT's Diplomacy, Enforcement & Space (DES) Business Area is seeking a ... Bachelor's degree in engineering, science, business, or related field (master's degree preferred ...

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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 Jul 10, 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.

Can a data scientist work at NASA?

Yes, data scientists can work at NASA, where they analyze large datasets related to space missions, climate, and aeronautics. They typically need strong skills in programming, statistical analysis, and experience with tools like Python, R, or MATLAB, along with a relevant degree in a STEM field. NASA employs data scientists in research, mission support, and data management roles.

What is the salary of a data scientist in NASA?

A NASA data scientist's salary typically aligns with federal government pay scales, such as the General Schedule (GS), with salaries ranging from approximately $70,000 to over $130,000 annually depending on experience, education, and location. Additional benefits include health insurance, retirement plans, and opportunities for professional development.

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.

Is 30 too late for data science?

For a NASA data scientist or similar roles, starting a career in data science at age 30 is feasible, especially with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life, and experience in related fields can be an asset. Continuous learning and building a strong portfolio can help overcome age-related concerns in the industry.

Is it difficult to get hired at NASA?

Getting hired as a NASA data scientist is competitive due to high standards for education, experience, and technical skills such as proficiency in programming, data analysis, and familiarity with space science. Candidates typically need a strong background in STEM fields, relevant certifications, and experience with large datasets and analytical tools. The hiring process involves rigorous evaluations and security clearances, making it a challenging but attainable goal for qualified applicants.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Nuclear Engineering Data Scientist

BWXT

Lynchburg, VA • Hybrid

Full-time

Medical, Dental, Retirement, PTO

Re-posted 2 days ago


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. A U.S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,800 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT’s technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com. Follow us on LinkedIn, X, Facebook and Instagram.

Welcome to BWXT
We believe in empowering our employees and cultivating a dynamic workplace that fosters growth and collaboration. Whether you’re an experienced professional or just starting your career, you'll find opportunities to challenge yourself, learn from seasoned experts, and contribute to nuclear innovation. We required a diverse range of skills to support our work in the markets that drive our business and welcome candidates from all backgrounds and life stages who are passionate about making a difference.

BWXT is People Strong, Innovation Driven - be part of BWXT’s innovation hub. BWXT’s Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.

If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.

Position Overview:

As our Nuclear Engineering Data Scientist, you will leverage advanced machine learning techniques, hybrid modeling approaches, and uncertainty quantification to tackle complex problems in nuclear engineering and related domains. This role is perfect for someone with a strong research background, experience in integrating machine learning models into engineering workflows, and a passion for applying cutting-edge AI technologies to real-world challenges in the nuclear industry.

Location:

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

Your Day to Day as a Nuclear Engineering Data Scientist:

  • Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.
  • Design hybrid modeling frameworks that combine physics-based and data-driven approaches for applications such as critical heat flux prediction and reactor physics simulations.
  • Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems.
  • Optimize nuclear engineering processes using advanced AI methodologies, including transfer learning and generative models.
  • Collaborate with cross-functional teams to integrate ML models into existing nuclear engineering tools.
  • Lead efforts in data augmentation, synthetic data generation, and domain adaptation to enhance model performance in data-scarce scenarios.

Required Qualifications:

  • A minimum of a bachelor’s degree in Nuclear Engineering, Computer Science, or a related field, with a strong focus on machine learning and artificial intelligence.
    • A minimum of ten (10) years of relevant experience is required.
  • Must have proven expertise in deep learning frameworks such as TensorFlow and PyTorch.
  • Must be proficient in programming languages and tools, including Python, C++, and MATLAB.
  • Must have experience with nuclear codes such as MCNP, Serpent, OpenMC, and CTF.
  • Must have demonstrated ability to develop and validate hybrid modeling techniques in nuclear engineering contexts.
  • Must be familiar with uncertainty quantification methods and transfer learning techniques.
  • Must have strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering.
  • Must be excellent communication skills and ability to present complex technical concepts to diverse audiences.
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance as required.

Preferred Qualifications:

    • Ph.D. or M.Sc. in Nuclear Engineering, Computer Science, or a related field is highly desired.
  • Strong publication record in reputable journals and conferences, showcasing contributions to AI and nuclear engineering is highly desired.
  • Experience integrating machine learning capabilities into established nuclear engineering workflows.
  • Knowledge of optimization methods and their applications in reactor design and fuel cycle analysis.
  • Familiarity with generative models, such as conditional variational autoencoders (CVAE), for synthetic data generation.

What We Offer:

  • Competitive salary and benefits package, including health, dental, and retirement plans.
  • Flexible work schedules and paid time off to promote a healthy work-life balance.
  • Professional development opportunities, including mentorship programs and sponsorship for continuing education.
  • An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
  • The chance to be part of a mission-driven organization making a positive impact on the future of energy.
  • Opportunities for continuous learning and training to grow throughout your career!

Pay: $86,000.00 - $136,000.00

The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $86,000.00 and $136,000.00 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,’ unless employed at a location and in a position subject to a collective bargaining agreement.  The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.

As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities (“BWXT” or the “Company”) complies with all federal, state, and local laws and customer requirements regarding health and safety protocols.  As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.

All candidates must be U.S. citizens. Selected applicants are required to successfully complete a pre-employment check and drug screening. In addition, the position may require the ability to obtain and maintain applicable federal eligibility requirements for access to classified/sensitive information or matter which involves an extensive criminal and financial background investigation, drug test, previous employment, and reference verifications.

BWXT is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color, religion, sex, national origin, citizenship, age, disability, protected veteran or other protected status.

BWX Technologies, Inc. and its affiliates and subsidiaries (BWXT) is not responsible for and does not accept any liability for fees or other costs associated with resumes or candidates presented by recruiters or employment agencies, unless a binding, written recruitment agreement between BWXT and the recruiter or agency exists prior to the presentation of candidates or resumes to BWXT and includes the specific services, job openings, and fees to be paid (“Agreement”). BWXT may consider any candidate for whom a recruiter or agency has submitted an unsolicited resume and explicitly reserves the right to hire such candidate(s) without any financial obligation to the recruiter or agency unless an Agreement is in place prior to presentation and such Agreement explicitly encompasses the job opening for which such fees or costs are sought. An email, verbal or other informal contact with any person within BWXT will not create a binding agreement. Agencies or recruiters without an Agreement are directed not to contact any hiring managers of BWXT with recruiting inquiries or resumes. Recruiters and agencies interested in partnering with BWXT may contact BWXT’s Talent Acquisition team at talent_acquisition@bwxt.com.