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Seasonal Data Science Astronomy Jobs (NOW HIRING)

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief CNO, analytics, data science Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, Python Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... astronomy), or other science disciplines with a substantial computational component (i.e ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

GRVTY is actively searching for Data Scientists located in Maryland to support their team. The role ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, Python, AI, ML Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Job Brief Data Science, Machine Learning Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, AI, ML Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... astronomy), or other science disciplines with a substantial computational component (i.e ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Data Processing: (Data management and curation, data description and visualization, workflow and ... astronomy), or other science disciplines with a substantial computational component (i.e ...

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Seasonal Data Science Astronomy information

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

AspectSeasonal Data Science AstronomyData Analyst
Required CredentialsBachelor's or higher in Astronomy, Data Science, or related fields; programming skillsBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentResearch institutions, observatories, seasonal projectsCorporate offices, business environments, ongoing projects
Industry UsageAstronomy, research, seasonal observational projectsBusiness, finance, marketing, and other sectors

Seasonal Data Science Astronomy focuses on applying data science techniques to astronomical data during specific seasons, often involving research and observational projects. In contrast, Data Analysts work across various industries analyzing data to inform business decisions, typically in a continuous, year-round capacity. Both roles require strong analytical skills and familiarity with data tools, but their work environments and industry applications differ significantly.

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Seasonal Data Science Astronomy jobs near you
Infographic showing various Seasonal Data Science Astronomy 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.

Data Scientist 3

GRVTY

Annapolis Junction, MD • On-site

Full-time

Re-posted 28 days ago

Job description

What You'll be Owning:

  • We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have:

  • 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.
  • Active TS/SCI w/ poly

What Would Be Nice to Have:

  • Employ some combination (2 or more) of the following skill areas:
  • 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 Government 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 Government collection, processing, storage and analytic capabilities and limitations.

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