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Data Science Astronomy Jobs in Colorado (NOW HIRING)

iNovex Information Systems

Data Scientist 2

Aurora, CO · On-site

$120K - $140K/yr

Job Brief Data Science, Jupyter, Analytics We're searching fortalented individuals who provide ... astronomy), or other science disciplines with a substantial computational component (i.e ...

SAIC

Multi-Disciplinary Optical Engineer

Denver, CO · On-site

$132K - $171K/yr

Minimum of a bachelor's degree in Optics, Planetary Science, Astronomy, Pphysics, Engineering, or ... data processing techniques. * Understanding material properties, and component characteristics to ...

Saic

Multi-Disciplinary Optical Engineer

Denver, CO · On-site

$160 - $200/hr

Simulate SDA data of space objects that represent the sensor system's spatial, spectral, and other ... Strongly Desired Skills Master's degree in Optics, Planetary science, Astronomy, Physics ...

SAIC

Multi-Disciplinary Optical Engineer

Denver, CO · On-site +1

$132K - $171K/yr

Qualifications *  Minimum of a bachelor's degree in Optics, Planetary Science, Astronomy ... data processing techniques. * Understanding material properties, and component characteristics to ...

SAIC

Multi-Disciplinary Optical Engineer

Denver, CO · On-site

$132K - $171K/yr

Minimum of a bachelor's degree in Optics, Planetary Science, Astronomy, Pphysics, Engineering, or ... data processing techniques. * Understanding material properties, and component characteristics to ...

IGNITE

FUTURES ANALYST/EDITOR

Colorado Springs, CO · On-site

... core scientific understanding of a related field such as astrophysics, optics, complexity, or ... data, and perform systems or comparative analysis. • Ability to break down and analyze complex ...

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 ...

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist 2

iNovex Information Systems

Aurora, CO • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Brief
Data Science, Jupyter, Analytics
Job Description
We're searching fortalented individuals who provide intelligence, statistical analysis and programming expertise for the Government.This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, thencome join us!
Job Description:
We are looking for a Data Scientist skilled in Python and Jupyter Notebooks to develop and maintain data-driven solutions. In this role, you'll analyze complex datasets, build models, and create interactive tools that support decision-making and operational efficiency across the organization.
The Level 2 Data Scientist shall possess the following capabilities:
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.

Qualifications:
  • Bachelor's Degree with 3 years of relevant experience
  • Associates degree with 5 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 oflinear 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.

Position requires active Security Clearance with appropriate Polygraph
Application Window:
While subject to change based on business needs, RealmOne 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: 120,000-140,000
The RealmOne pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role's responsibilities, the candidate's educational background, their work experience, and the specific competencies crucial for success in the role.
RealmOne Benefits:
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family with buy-up option available.
  • Retirement + Savings: 401K - 10% TOTAL CONTRIBUTION - 5% safe harbor - 5% annual profit share. Immediate vested, no match required!
  • Paid Time Off + More: 4 weeks starting PTO - 11 federal holidays + 2 floating holidays - Paid hours for company-required training.
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy - Opportunities to participate in tech councils, industry initiatives, etc. - $7,500 annual Educational & Professional Development Assistance.
  • MORE BENEFITS...FOR EVERY LIFESTYLE! - Paid parental leave - Adoption assistance - Annual swag drops - Flexible work schedules - -Generous referral bonus program - Employee appreciation + family-friendly corporate events ...and much more.

ABOUT US
  • RealmOne is a mid-sized science and technology company dedicated to solving our customers' toughest mission challenges.
  • Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products to customers in the Government and commercial sectors.
  • RealmOne delivers encompassing mission assurance and critical systems support to government customers across various U.S. locations to include Colorado, Georgia, Hawaii, Texas, Utah, and Virginia.
  • RealmOne has earned numerous awards, including being named a Top Workplace by the Baltimore Sun. With more than 30+ active contracts, 12 of which are prime, RealmOne stands as a premier innovator supporting the Government and Department of Defense, with team members located nationwide.

Disclaimer: Benefits packages offered by RealmOne are subject to variation and may differ based on work location, clearance level, and other eligibility criteria. Specific eligibility, availability, and scope of benefits are not guaranteed, may differ from those generally described, and remain subject to modification at the sole discretion of the company.

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