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Data Science Remote Internship 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 ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ...

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

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 ...

Excella

Senior Consultant Data Scientist

Arlington, VA · On-site +1

Senior Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

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Data Science Remote Internship information

What are the key skills and qualifications needed to thrive as a Data Science Remote Intern, and why are they important?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What is a Data Science Remote Internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

What is the difference between Data Science Remote Internship vs Data Analyst Remote Internship?

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.
What are the most commonly searched types of Data Science Remote jobs in Virginia? The most popular types of Data Science Remote jobs in Virginia are:
What are popular job titles related to Data Science Remote Internship jobs in Virginia? For Data Science Remote Internship jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Remote Internship jobs in Virginia look for? The top searched job categories for Data Science Remote Internship jobs in Virginia are:
What cities in Virginia are hiring for Data Science Remote Internship jobs? Cities in Virginia with the most Data Science Remote Internship job openings:
Data Science Remote Internship jobs near you
Infographic showing various Data Science Remote Internship job openings in Virginia as of July 2026, with employment types broken down into 14% Internship, 69% Full Time, 14% Part Time, and 3% Contract. Highlights an 16% In-person, 2% Hybrid, and 82% Remote job distribution.
Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Re-posted 22 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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