2

Remote Data Scientist Graduate Jobs in Reston, VA

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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 ...

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Lead Data Scientist is responsible for leading and conducting research and analysis to evaluate ...

next page

Showing results 1-20

Remote Data Scientist Graduate information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do remote data scientist graduate jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data scientist graduate in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Scientist Graduate vs Remote Data Analyst Graduate?

AspectRemote Data Scientist GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, data cleaning, basic analysis, business insights
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, consulting firms

The main difference between a Remote Data Scientist Graduate and a Remote Data Analyst Graduate lies in the complexity of tasks and required skills. Data Scientists typically handle advanced modeling and machine learning, requiring stronger programming and statistical expertise. Data Analysts focus on data cleaning, reporting, and basic analysis. Both roles are in high demand across various industries, but Data Scientists often work on more complex projects and require more specialized credentials.

What are popular job titles related to Remote Data Scientist Graduate jobs in Reston, VA? For Remote Data Scientist Graduate jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Remote Data Scientist Graduate jobs? Cities near Reston, VA with the most Remote Data Scientist Graduate job openings:
Data Scientist with Security Clearance

Data Scientist with Security Clearance

NT Concepts

Herndon, VA • On-site, Remote

Other

Posted 5 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 #JT