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Entry Level Nasa Data Scientist Jobs (NOW HIRING)

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

New

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

New

Junior Data Scientist

Greenbelt, MD · On-site

$64K - $96K/yr

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD. Responsibilities : Position Overview: Seeking a Data Scientist or Machine Learning ...

New

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Principal Data Scientist ID: 1177 Work Location: Washington, DC Clearance Required: Public Trust ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

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Entry Level Nasa Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do entry level nasa data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level nasa data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can I get an entry level Nasa data scientist job with no experience?

Entry level NASA data scientist positions typically require some background in data analysis, programming, or related fields, but they may accept candidates with limited experience if they demonstrate strong skills and relevant education such as a degree in science, technology, engineering, or mathematics. Internships, research projects, or certifications in tools like Python, R, or SQL can improve chances, but some experience is generally expected for competitive applicants.

Can I work at NASA as a data scientist?

Entry-level data scientists can work at NASA, typically requiring a background in data analysis, programming, and scientific research. Candidates often need a relevant degree, such as in computer science, engineering, or physics, and may need security clearances or specialized certifications. NASA offers opportunities for those with strong analytical skills and experience with tools like Python, R, or MATLAB.

Does NASA hire entry-level data scientists?

NASA does hire entry-level data scientists, often requiring a bachelor's degree in a related field such as computer science, statistics, or engineering. Candidates typically need skills in data analysis, programming languages like Python or R, and familiarity with data management tools. Entry-level positions may also require internships or relevant project experience.

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 Entry Level Nasa Data Scientist jobs?

States with the most job openings for Entry Level Nasa Data Scientist jobs include:

Infographic showing various Entry Level Nasa Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Junior Data Scientist

asrcfh

Greenbelt, MD

Full-time

Posted 2 days ago

New


Job description

ASRC Federal AFSS is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract in Greenbelt, MD.

Responsibilities:

Position Overview:
Seeking a Data Scientist or Machine Learning with proven experience in developing advanced machine learning models, statistical analysis, and multimodal data systems for large, complex datasets. The ideal candidate will have a strong background in Python-based modeling, deep learning, computer vision, and natural language processing, with demonstrated success in both academic and research environments, including NASA projects.

Key Responsibilities:

  • Develop, implement, and optimize machine learning and deep learning models for scientific and real-world applications, including vision-language systems and multimodal architectures.
  • Construct and manage large-scale datasets (e.g., image-text pairs) for model training and evaluation.
  • Design and execute multi-stage inference pipelines, evaluation frameworks, and fine-tuning strategies to improve model reliability and accuracy.
  • Apply statistical modeling and time series forecasting techniques (e.g., SARIMA, LSTM) to predict trends in domains such as sustainable aviation fuels and green hydrogen.
  • Analyze complex datasets using regression, NLP, and quantitative methods to extract actionable insights for policy and research.
  • Collaborate with cross-functional teams, including NASA scientists and academic researchers, to disseminate findings through publications and presentations.
  • Author technical documentation and present diagnostics and results at conferences and symposiums.
  • Teach and mentor students in data analytics and computer science, developing supplementary materials and project-based modules.
  • Additional duties as assigned.

 

Required Qualifications:

  • Bachelor’s degree in Data Science, Statistics, or related discipline.
  • Strong programming skills: Python, R, SQL, MATLAB, SAS, HTML/CSS; experience with PyTorch, TensorFlow, Linux, Git.
  • Expertise in machine learning, deep learning, time series forecasting, statistical modeling, computer vision, NLP, and multimodal learning.
  • Experience with data preprocessing, feature engineering, data visualization, and quantitative analysis.
  • Demonstrated ability to build scalable data pipelines and process large, unstructured datasets.
  • Excellent communication skills, with experience presenting technical findings to diverse audiences.
  • Individual must meet government NAC and citizenship/permanent residency requirements for access to NASA GSFC. Extensive background investigation will be performed as a requirement of the job. Some travel may be required.

Preferred Experience:

  • Research experience in academic or government settings (e.g., NASA).
  • Experience developing vision-language models and multimodal neural network architectures.
  • Prior teaching or mentoring experience in computer science or data analytics.
  • Publications or presentations at scientific conferences.