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Remote Data Science Astronomy Jobs in Virginia (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

... 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 ...

A-TEK Inc.

Health IT Data Scientist

Alexandria, VA · 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

RapidSoft Corp

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · 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 ...

Booz Allen Hamilton, Inc.

Data Scientist

Stafford, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0240206 Location: Stafford,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 by ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · 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 ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

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

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All JobsData Science Astronomy JobsRemote Data Science Astronomy JobsRemote Data Science Astronomy Jobs in Virginia

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 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 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.

Can I work remotely as a data scientist?

Remote data science roles, including those in astronomy, are common and often involve using tools like Python, R, and cloud platforms. These positions typically require strong analytical skills, communication, and the ability to collaborate virtually, making remote work feasible for qualified candidates.

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:

Remote Data Science Astronomy jobs near you

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 24 days ago

Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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