1

Machine Learning Astronomy Jobs in Washington (NOW HIRING)

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 1

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 4

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Data Scientist 2

Annapolis, MD ยท 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 ...

Data Scientist

Annapolis, MD ยท On-site

$119K - $285K/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 ...

Data Scientist 2

Annapolis, MD ยท 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 ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning ... astronomy), or other science disciplines with a substantial computational component (i.e ...

Data Scientist 3

Annapolis, MD ยท 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 ...

Showing results 41-60

Machine Learning Astronomy information

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? For Machine Learning Astronomy jobs in Washington, the most frequently searched job titles are:
Infographic showing various Machine Learning Astronomy job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 37% Full Time, 56% Part Time, 2% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Scientist - Python, Jupyter, Spark (2026-0177)

Acclaim Technical Services, Inc.

Annapolis, MD โ€ข On-site

$180 - $200/hr

Other

Medical, Retirement, PTO

Posted 9 days ago


Job description

Acclaim Technical Services,founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.

We are actively recruiting for a Data Scientist with TS/SCI w/ Poly to support our Defense and Homeland Security Division in Annapolis Junction, MD

In this role, you will support the understanding, identification, and mapping of large-scale datasets. You will integrate AI techniques to help develop and deliver cybersecurity policy to mission partners and document and assess metrics to help leadership make informed decisions. Experience with Python, Jupyter, Spark, data curation and visualizations/dashboards, and understanding of generative AI techniques strongly preferred.

The 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 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.
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'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).
  • 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.

The salary range for this position is between $180,000 - $200,000

SALARY TRANSPARANCY

There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.

At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources

EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT

ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.

#J-18808-Ljbffr