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Data Science Astronomy Jobs in Colorado (NOW HIRING)

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 ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

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

$155K - $185K/yr

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 ...

Eliassen Group

Senior Data Engineer

Almont, CO · On-site

$75 - $85/hr

Integrate VaultSpeed-generated workloads with Astronomer and Apache Airflow. * Develop, maintain ... Bachelor's degree in computer science, data engineering, information systems, software engineering ...

IonQ

Optical Engineer

Broomfield, CO · On-site

$116K - $152K/yr

... science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved ... As Earth's first space-based telecommunications company, we deliver fiberless, planetary-scale data ...

All JobsData Science Astronomy JobsData Science Astronomy Jobs in Colorado

Data Science Astronomy information

What is a data science astronomy?

A Data Science Astronomy job combines data science techniques with astronomical research to analyze vast amounts of space-related data. Professionals in this field work with large datasets from telescopes, satellites, and simulations, using machine learning, statistical methods, and computational tools to uncover insights about the universe. They may be involved in tasks like detecting exoplanets, analyzing galaxy formations, or improving automated data processing in observatories. This role typically requires expertise in programming, data analysis, and domain knowledge in astronomy.

What types of projects or datasets do data science astronomy professionals typically work with?

Data Science Astronomy professionals often work on projects involving the analysis of massive datasets from telescopes, satellites, or astronomical surveys, such as those compiled by the Sloan Digital Sky Survey or the James Webb Space Telescope. Their responsibilities may include cleaning and processing raw observational data, developing predictive models, and uncovering patterns related to cosmic phenomena like exoplanets, galaxies, or dark matter. Collaboration with astronomers, software engineers, and other scientists is common, fostering a dynamic and innovative environment. Working with these diverse datasets presents exciting challenges and offers opportunities to contribute to groundbreaking discoveries in the field.

What are the key skills and qualifications needed to thrive in the data science astronomy position, and why are they important?

To thrive as a Data Science Astronomy professional, you need a solid background in statistics, astrophysics, programming (often in Python or R), and experience with large datasets, usually supported by an advanced degree in astronomy, physics, or a related field. Familiarity with machine learning libraries, data visualization tools, and astronomy-specific databases or software like Astropy and SQL is highly beneficial. Strong analytical thinking, problem-solving abilities, and the capacity to collaborate in interdisciplinary teams are essential soft skills. These competencies enable accurate analysis of astronomical data, practical scientific discovery, and effective teamwork in research or applied settings.

What are the most commonly searched types of Data Science Astronomy jobs in Colorado? The most popular types of Data Science Astronomy jobs in Colorado are:
What are popular job titles related to Data Science Astronomy jobs in Colorado? For Data Science Astronomy jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Astronomy jobs in Colorado look for? The top searched job categories for Data Science Astronomy jobs in Colorado are:
Data Science Astronomy jobs near you
Infographic showing various Data Science Astronomy job openings in Colorado as of July 2026, with employment types broken down into 2% Locum Tenens, 68% As Needed, 19% Full Time, 9% Part Time, 1% Contract, and 1% Summer. Highlights an 66% Physical, 1% Hybrid, and 33% Remote job distribution.

Data Scientist 3

GRVTY

Colorado Springs, CO • On-site

Other

Re-posted 24 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:

  • Possess 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.
  • Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience
    • Bachelor's degree 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

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