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Internship Data Science Astronomy Jobs in Colorado

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 ...

Machine Learning Intern

Denver, CO · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

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 ...

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 ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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Internship Data Science Astronomy information

What is the difference between Internship Data Science Astronomy vs Internship Data Analysis?

AspectInternship Data Science AstronomyInternship Data Analysis
Required CredentialsBasic programming, statistics, astronomy knowledgeStatistics, Excel, basic programming
Work EnvironmentResearch labs, observatories, academic institutionsBusiness, finance, healthcare, or tech companies
Industry UsageResearch projects, space agencies, academiaBusiness insights, reporting, decision-making

Internship Data Science Astronomy focuses on applying data science skills to astronomical data, often within research or academic settings. In contrast, Internship Data Analysis is broader, covering various industries where data interpretation supports business decisions. While both roles require analytical skills, the astronomy internship emphasizes scientific research and space data, whereas data analysis internships are more industry-specific and business-oriented.

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 cities in Colorado are hiring for Internship Data Science Astronomy jobs?

Cities in Colorado with the most Internship Data Science Astronomy job openings:

Infographic showing various Internship Data Science Astronomy job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Data Scientist 2

Aurora, CO • On-site

iNovex Information Systems
Professional, Scientific, and Technical Services • 51 - 200 employees

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 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.