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Assistant Data Science Astronomy Jobs (NOW HIRING)

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... astronomy), or other science disciplines with a substantial computational component (i.e ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... astronomy), or other science disciplines with a substantial computational component (i.e ...

... astronomy), or other science disciplines with a substantial computational component (i.e ... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 1

Annapolis, MD · On-site

$90K - $120K/yr

... conversely, assist others with drawing appropriate conclusions from the analysis of such data ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

... assist others with drawing appropriate conclusions from the analysis of such data. Effectively ... astronomy), or other science disciplines with a substantial computational component (i.e ...

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Assistant Data Science Astronomy information

What is the difference between Assistant Data Science Astronomy vs Data Analyst?

AspectAssistant Data Science AstronomyData Analyst
Required CredentialsBachelor's in Astronomy, Data Science, or related fields; some roles prefer certifications in data analysis or programmingBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch institutions, observatories, universities, or space agenciesCorporate offices, financial institutions, healthcare, or marketing firms
Industry UsageAcademic, scientific research, space explorationBusiness, finance, healthcare, marketing
Common Search/ComparisonYesNo

Assistant Data Science Astronomy focuses on supporting research in astronomy and space sciences, often within academic or research institutions, requiring knowledge of astronomy and data analysis. Data Analysts work across various industries analyzing data to inform business decisions, requiring strong analytical skills and familiarity with data tools. While both roles involve data handling, their industries, environments, and specific expertise differ significantly.

More about Assistant Data Science Astronomy jobs
What cities are hiring for Assistant Data Science Astronomy jobs? Cities with the most Assistant Data Science Astronomy job openings:
What are the most commonly searched types of Data Science Astronomy jobs? The most popular types of Data Science Astronomy jobs are:
What states have the most Assistant Data Science Astronomy jobs? States with the most job openings for Assistant Data Science Astronomy jobs include:
Infographic showing various Assistant Data Science Astronomy job openings in the United States as of May 2026, with employment types broken down into 20% Internship, 40% As Needed, 20% Temporary, and 20% Nights. Highlights an 91% Physical, and 9% Remote job distribution.

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

Full-time

Posted 29 days ago


Job description

Gormat is seeking a Data Scientist who is familiar with Agentic AI, RAG, and Machine Learning model training in addition to the customer's enterprise data processing pipeline. You will be working to integrate AI into malware detection and malware analysis capabilities.

The Level 3 Data Scientist shall possess the following capabilities:

  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.
  • AI/ML experience combined with CNE familiarity. Support the CNO community. Assess LLMs for effectiveness and applicability to CNE capability integration. Math and statistics background. Data normalization and visualization. Python required.

Qualifications:

  • Bachelor's Degree with 10 years of relevant experience.
  • Associates degree with 12 years of relevant experience.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

TS/SCI with polygraph is required.