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Remote Data Science Astronomy Jobs in Virginia (NOW HIRING)

Health IT Data Scientist

Alexandria, VA ยท On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Stay current with emerging data science technologies and best practices. Minimum Qualifications

Data Scientist, Mid

Reston, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247936 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist, Mid

Reston, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246463 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist, Mid

Reston, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Chantilly, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist Principal

Chantilly, VA ยท On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Data Scientist Principal to deliver Systems Engineering Technical Advisor (SETA) supporting a program based in Chantilly, VA.

Data Scientist

Chantilly, VA ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246129 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Arlington, VA ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247320 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Chantilly, VA ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Alexandria, VA ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0241418 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Arlington, VA ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247512 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Mclean, VA ยท On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0248196 Location: McLean,VA,US Share job via: Share Additional Locations: * Bethesda, Maryland, USA * Washington, District of Columbia, USA Data Scientist The ...

Data Scientist (Remote)

VA ยท On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... Job Specific Requirements: -Bachelor's degree in data science, statistics, mathematics, computer ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

... remote sensing datasets - familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience ...

... or remote sensing datasets -- familiarity with the data types matters here. * Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity.

Showing results 41-60

Remote Data Science Astronomy information

What is a remote data science astronomy?

A Remote Data Science Astronomy job involves using data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze astronomical data and solve problems in astronomy, all while working remotely. Professionals in this role process large datasets collected from telescopes or space missions to discover patterns, classify celestial objects, or make predictions about cosmic phenomena. This position typically requires strong programming skills, familiarity with astronomical datasets, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a remote data science astronomer?

To thrive as a Remote Data Science Astronomer, you need a strong background in astrophysics, statistics, and data analysis, typically supported by a degree in astronomy, physics, or a related field. Proficiency with programming languages such as Python or R, experience with astronomical data processing tools (e.g., Astropy, IRAF), and familiarity with machine learning libraries are commonly required. Strong problem-solving skills, self-motivation, and effective communication are essential soft skills for collaborating remotely and interpreting complex data. These skills enable the accurate extraction of scientific insights from large datasets, drive research innovation, and ensure smooth coordination in distributed scientific teams.

What are some typical challenges faced by remote data science astronomers, and how can they be addressed?

Remote data science astronomers often face challenges related to accessing large datasets, collaborating effectively with distributed teams, and staying updated with the latest research tools. Utilizing cloud-based platforms and secure data-sharing protocols can help manage big astronomical datasets efficiently. Regular virtual meetings and clear communication channels are essential to maintain strong team collaboration. Additionally, participating in online workshops or communities can help remote astronomers stay current with new analytical methods and industry standards.

What is the difference between Remote Data Science Astronomy vs Remote Data Science Astrophysics?

AspectRemote Data Science AstronomyRemote Data Science Astrophysics
Required CredentialsBachelor's or Master's in Astronomy, Data Science, or related fieldsBachelor's or Master's in Astrophysics, Data Science, or related fields
Work EnvironmentResearch institutions, observatories, universities, or tech companiesResearch institutions, observatories, universities, or tech companies
Industry UsageAcademic research, space agencies, tech startups

Remote Data Science Astronomy and Remote Data Science Astrophysics share similar credentials and work environments, often involving research institutions and tech companies. The main difference lies in their focus: Astronomy emphasizes observational data and celestial phenomena, while Astrophysics concentrates on theoretical models and physical processes of celestial bodies. Both roles require strong data analysis skills and relevant educational backgrounds, making them closely related but distinct in their scientific emphasis.

What are popular job titles related to Remote Data Science Astronomy jobs in Virginia?

For Remote Data Science Astronomy jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Astronomy jobs in Virginia look for?

The top searched job categories for Remote Data Science Astronomy jobs in Virginia are:

What cities in Virginia are hiring for Remote Data Science Astronomy jobs?

Cities in Virginia with the most Remote Data Science Astronomy job openings:

Health IT Data Scientist

A-TEK Inc.

Alexandria, VA โ€ข On-site, Remote

$110K - $120K/yr

Full-time

Re-posted 3 days ago


Key responsibilities

  • Develop predictive models and machine learning algorithms.

  • Perform statistical analyses on structured and unstructured data.

  • Design data visualizations and executive dashboards.


Job description

Empower, Innovate, Impact!  At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision-making across DHS Health IT initiatives. This is a remote position.  US Citizenship is required for consideration.  Ability to obtain and retain a public trust clearance is required for consideration.

Essential Responsibilities

  • Develop predictive models and machine learning algorithms.
  • Perform statistical analyses on structured and unstructured data.
  • Identify trends, patterns, and performance indicators.
  • Develop forecasting models supporting operational planning.
  • Design data visualizations and executive dashboards.
  • Collaborate with business stakeholders to identify analytical opportunities.
  • Validate analytical models and document methodologies.
  • Support AI and advanced analytics initiatives.
  • Present analytical findings to executive leadership.
  • Stay current with emerging data science technologies and best practices.

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
  • Minimum seven (7) years of data science experience.
  • Experience with Python, R, SQL, and machine learning techniques.
  • Strong statistical analysis and predictive modeling skills.
  • Experience with enterprise analytics platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science or related discipline.
  • Experience supporting Federal healthcare programs.
  • AI/ML platform experience.
  • Experience with Power BI and Tableau.

Compensation

Expected Salary Range: $110,000–$120,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.