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Machine Learning Astronomy Jobs in Washington, DC

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 1

Annapolis, MD · On-site

$90K - $120K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

$155K - $185K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Weeghman & Briggs LLC

Data Scientist 2

Annapolis, MD · On-site

$135K - $150K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Sentar

Data Scientist 3

Fort George G Meade, MD · On-site

Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning ... 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

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 3

Annapolis, MD · On-site

$155K - $185K/yr

... astronomy), or other science disciplines with a substantial computational component (i.e ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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Showing results 41-60

All JobsMachine Learning Astronomy JobsMachine Learning Astronomy Jobs in Washington, DC

Machine Learning Astronomy information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do machine learning astronomy jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning astronomy in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Astronomy vs Data Scientist?

AspectMachine Learning AstronomyData Scientist
Required CredentialsDegree in Astronomy, Physics, or related fields; knowledge of machine learningDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch institutions, observatories, academiaCorporate, tech companies, consulting firms
Industry UsageAnalyzing astronomical data, developing models for celestial phenomenaBusiness analytics, predictive modeling, data visualization

Machine Learning Astronomy focuses on applying machine learning techniques to astronomical data within research settings, while Data Scientists work across various industries analyzing data to inform business decisions. Both roles require strong analytical skills and programming knowledge but differ in domain focus and work environment.

What is machine learning astronomy?

Machine learning astronomy is the application of machine learning techniques to analyze and interpret astronomical data. This field combines computer science, statistics, and astronomy to automate tasks such as classifying celestial objects, detecting anomalies, and predicting astronomical events. With the increasing volume of data from telescopes and space missions, machine learning helps astronomers process and extract meaningful insights more efficiently. Researchers in this area develop algorithms that can learn patterns from vast datasets, leading to new discoveries and a deeper understanding of the universe.

What are the key skills and qualifications needed to thrive as a machine learning astronomer, and why are they important?

To thrive as a Machine Learning Astronomer, you need a strong background in astrophysics, statistical analysis, and programming (often with a PhD in a related field). Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and astronomical data systems is essential. Critical thinking, problem-solving, and effective collaboration are key soft skills for innovating solutions and working within research teams. These skills enable the effective analysis of large astronomical datasets, driving new discoveries and advancements in the field.

What are some common challenges faced by professionals working in machine learning astronomy?

Machine learning astronomers often encounter challenges such as handling extremely large and complex datasets, ensuring data quality, and effectively preprocessing astronomical data to reduce noise and artifacts. Additionally, interpreting model results in a scientific context can be demanding, as it requires both technical expertise and domain knowledge. Collaboration with astronomers, data engineers, and software developers is essential to ensure that machine learning models are both accurate and scientifically meaningful.
What are popular job titles related to Machine Learning Astronomy jobs in Washington, DC? For Machine Learning Astronomy jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Astronomy jobs in Washington, DC look for? The top searched job categories for Machine Learning Astronomy jobs in Washington, DC are:
Machine Learning Astronomy jobs near you
Infographic showing various Machine Learning Astronomy job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,230 per year, or $23.2 per hour.

Data Scientist 4

iNovex Information Systems

Annapolis, MD • On-site

$211K - $266K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Job Brief
Python, Jupyter, AI/ML
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 with experience leveraging AI/ML techniques for optimization, automation, and collection processing, and a willingness to teach AI/ML skills to more junior Data Scientists. You will need to be proficient with API interaction including reading/using/building tools to retrieve data. Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus. Front end web development using BootStrap (HTML) or Pyodide is a plus.

The Level 4 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).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use 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 feature 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.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • 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.
  • 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 on 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.
  • Capable of applying and developing best tradecraft practices for deep analysis of network-centric data from a variety of sources and extracting actionable intelligence, including pattern recognition and attribution.
  • Pandas Data frame and aggregation experience using Python is required.
  • Data Visualization capabilities with Plotly, Shapely, GeoPandas is a plus.
  • AMOD proficiency and an understanding of dataflow is a plus.
  • Splunk, SQL, Elastic, Kibana, or Networking experience is a plus.
  • Front end web development using bootstrap (HTML) or Pyodide are also a plus.

Position requires active Security Clearance with appropriate Polygraph
Pay Range: 211,000-266,000
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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