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Full Time Nasa Data Scientist Jobs (NOW HIRING)

Leidos

Spaceflight Data Scientist (NASA HHPC)

Houston, TX · On-site

$107K - $195K/yr

We are seeking a Spaceflight Data Scientist with deep expertise in Bayesian inference, Bayesian decision theory, and normative decision theory to contribute to NASA's Mars Backwards Planetary ...

Virtualitics, Inc

Data Scientist

Washington, DC · On-site +1

Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists ... Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

Victory

Data Scientist

Austin, TX · On-site

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Citizen Employment Type: FULL_TIME

Innovizant LLC

Data Scientist

Madison, WI

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

VTG

Data Scientist

Chantilly, VA · On-site

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Data Scientist

Herndon, VA · On-site

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... UNAVAILABLEEmployment Type: FULL_TIME

Tetra Tech, Inc.

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Must have at least 20 years of professional years of experience supporting projects as a data scientist but preferably in support of the FAA/NASA or at least the federal government * Must have a ...

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Full Time Nasa Data Scientist information

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$122.7K

$196.5K

How much do full time nasa data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time 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 is the difference between Full Time Nasa Data Scientist vs Full Time Nasa Data Analyst?

AspectFull Time Nasa Data ScientistFull Time Nasa Data Analyst
Required CredentialsAdvanced degrees in Data Science, Computer Science, or related fields; strong programming skillsBachelor's or Master's in Data Analysis, Statistics, or related fields; proficiency in data tools
Work EnvironmentResearch labs, mission control, collaborative teams on complex projectsData processing centers, reporting environments, support teams
Employer & Industry UsageNASA, aerospace, research institutionsNASA, government agencies, research organizations

Full Time NASA Data Scientists focus on developing predictive models and advanced analytics, requiring higher technical expertise and advanced degrees. Data Analysts handle data processing, reporting, and basic analysis. Both roles work within NASA but differ in complexity, responsibilities, and skill requirements.

Can I work at NASA as a full time Nasa Data Scientist?

Full-time NASA data scientists are employed through federal government hiring processes, requiring U.S. citizenship, relevant advanced degrees, and security clearances. They typically work in NASA centers or research facilities, utilizing skills in data analysis, machine learning, and programming tools like Python or MATLAB. Positions are posted on USAJOBS and often require competitive application procedures.

What are the key skills and qualifications needed to thrive as a full time NASA data scientist, and why are they important?

To thrive as a Full Time NASA Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a relevant field such as computer science, engineering, or mathematics. Proficiency in programming languages like Python or R, experience with big data platforms, and familiarity with geospatial analysis tools are typically required. Outstanding problem-solving, teamwork, and communication skills help you effectively collaborate with interdisciplinary teams and convey complex findings. These competencies are vital for analyzing vast datasets, driving scientific discoveries, and supporting critical NASA missions.

What does a full time NASA data scientist do?

A Full Time NASA Data Scientist analyzes and interprets complex data collected from space missions, satellites, and scientific experiments. They use advanced statistical methods, machine learning, and computational tools to uncover insights that support NASA's research and exploration goals. Their work can involve developing algorithms, creating data models, and collaborating with engineers and scientists to solve critical challenges in space science, Earth observation, and planetary exploration. Additionally, they help ensure the accuracy and reliability of data used in scientific publications and mission planning.

What types of projects and datasets might I work with as a full time NASA data scientist?

As a Full Time NASA Data Scientist, you may work with a wide range of datasets, including satellite imagery, climate data, astronomical observations, and telemetry from space missions. Projects often involve analyzing complex data to support research in areas such as Earth science, planetary exploration, and astrophysics. Collaboration is common, as you'll likely partner with engineers, researchers, and software developers to design models, interpret results, and communicate findings. The work environment is highly collaborative and encourages ongoing learning, making it an excellent role for those interested in both science and technology.

How much do NASA data scientists make?

NASA data scientists typically earn between $80,000 and $130,000 annually, depending on experience, education, and location. They often hold advanced degrees in fields like data science, computer science, or engineering and work with large datasets using tools such as Python, R, and SQL within a government pay scale system.
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Full Time Nasa Data Scientist jobs near you
Infographic showing various Full Time Nasa Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Spaceflight Data Scientist (NASA HHPC)

Leidos

Houston, TX • On-site

$107K - $195K/yr

Full-time

Posted 14 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

76th of 482 rated business services

Job description

On the Human Health and Performance Contract we are at the forefront of safeguarding astronaut health, ensuring human performance, and advancing technologies for human space exploration. We are seeking a Spaceflight Data Scientist with deep expertise in Bayesian inference, Bayesian decision theory, and normative decision theory to contribute to NASA's Mars Backwards Planetary Protection efforts to support the Statistics and Data Science team for the Biomedical Research and Environmental Sciences division at the NASA Johnson Space Center (JSC) in Houston, TX.
What You'll Do:
In this highly specialized role, you will build rigorous, mathematically grounded frameworks that inform critical decisions regarding contamination risk, biosafety protocols, evidence-evaluation strategies, and risk-management tradeoffs for Mars sample return and human/robotic exploration. Your work will directly influence policies and operational strategies that protect Earth's biosphere while enabling scientific advancement. You will help define the decision frameworks that safeguard Earth during one of the most significant scientific endeavors of our time. Your contributions will shape how humanity explores Mars, evaluates extraterrestrial samples, and manages biosafety risks across multiple mission architectures. This is a rare opportunity to apply high-level decision science to challenges at the frontier of planetary exploration, astrobiology, and human spaceflight.
This position is 100% on site and in person. Occasional travel may be required.
Primary Responsibilities:
  • Develop, implement, and compare Bayesian decision-theoretic and normative decision-analytic models to guide contamination-risk and policy decisions for Mars sample return and backwards planetary protection.
  • Construct probabilistic models that integrate microbial, environmental, and operational uncertainties across Mars-to-Earth transfer pathways.
  • Determine optimal testing, containment and mitigation strategies by quantifying tradeoffs among evidence, stakeholder values, mission constraints, and risk tolerances.
  • Conduct formal uncertainty quantification, sensitivity analysis, and scenario exploration grounded in advanced decision theory.
  • Clearly communicate assumptions, decision logic, analytic results, and policy implications to interdisciplinary teams, mission planners, and regulatory partners.
  • Contribute to compliance documentation and ensure analytical rigor in support of NASA's protective mandates.

Required Education and Experience:
  • Master's Degree and 10 years of experience or Ph.D. and 5 years of experience in Decision Sciences, Statistics, Health Economics, Operations Research, or a related quantitative discipline.
  • Demonstrated expertise in Bayesian inference, Bayesian decision theory, and normative decision theory, including eliciting priors, utilities, and multi-attribute value structures.
  • Proficiency with probabilistic programming tools such as Stan, R, Python, or equivalent.
  • Strong foundation in experimental design, probabilistic modeling, and formal risk-assessment methodologies.
  • Exceptional analytical rigor and quantitative problem-solving abilities.
  • Ability to communicate complex technical concepts to diverse audiences.
  • Collaborative mindset suited for interdisciplinary research and operational teams.
  • Strong attention to detail, particularly in documentation and model governance.

Desired Skills:
  • Experience applying decision theory to planetary protection, astrobiology, microbial risk assessment, or high-stakes biosafety domains.
  • Familiarity with COSPAR Planetary Protection guidelines and NASA risk-based decision processes.
  • Background in modeling for Mars Sample Return or similar exploration missions with stringent biosafety considerations.
  • Prior support of NASA programs or spaceflight research.

Must be able to obtain a Public Trust Clearance; due to contract requirements, U.S. Citizenship or U.S. Permanent residency is required.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
July 24, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

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Headquarters location

Reston, VA, US

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