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Data Science Astronomy Jobs (NOW HIRING)

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 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 ...

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 ...

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 ...

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 ...

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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Data Science Astronomy information

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$15.5K

$111.3K

$208K

How much do data science astronomy jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science astronomy in the United States is $111,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What are 5 potential jobs for astronomy?

Potential jobs for astronomy graduates include astrophysicist, research scientist, data analyst, telescope operator, and science communicator. These roles often require strong analytical skills, programming knowledge, and familiarity with astronomical data and tools such as Python, MATLAB, or telescope software.

What is a Data Science Astronomy job?

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.

Is data science used in astronomy?

Data science is extensively used in astronomy to analyze large datasets from telescopes and space missions, helping scientists discover patterns and make predictions. Data scientists in this field often work with tools like Python, R, and machine learning algorithms to process and interpret astronomical data.

Does NASA hire data scientists?

Yes, NASA hires data scientists to analyze large datasets related to space missions, astronomy, and Earth sciences. These roles often require skills in programming, statistical analysis, and experience with tools like Python, R, or SQL, and may involve working on mission-critical projects within a collaborative environment.

What is the salary of a data scientist at NASA?

A data scientist at NASA typically earns a salary within the federal government's General Schedule (GS) pay scale, ranging from GS-11 to GS-14, which translates to approximately $55,000 to $130,000 annually depending on experience, education, and location. Additional benefits include federal health insurance, retirement plans, and opportunities to work on space and scientific research projects. Salaries are often complemented by specialized skills in data analysis, machine learning, and programming tools like Python or R.
More about Data Science Astronomy jobs
What cities are hiring for Data Science Astronomy jobs? Cities with the most 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 Data Science Astronomy jobs? States with the most job openings for Data Science Astronomy jobs include:
What job categories do people searching Data Science Astronomy jobs look for? The top searched job categories for Data Science Astronomy jobs are:
Data Science Astronomy jobs near you
Data Scientist 3

Data Scientist 3

iNovex Information Systems

Annapolis, MD • On-site

$161K - $211K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Job Brief
Data Science, Python, Jupyter
Job Description
Are you VIGILANT about your career? RealmOne definitely is!
RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals.
Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity.
Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation's Security.
Job Description:
We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.
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.

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.

Position requires active Security Clearance with appropriate Polygraph
Pay Range: 161,000-211,000
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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