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Remote Scientific Computing Jobs in Virginia (NOW HIRING)

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Experience working with cloud computing platforms such as AWS * Experience with performance scaling ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Experience working with cloud computing platforms such as AWS * Experience with performance scaling ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Armada

AI Factory Customer Engineer

Springfield, VA · On-site +1

... is an edge computing startup that provides computing infrastructure to remote areas where ... Required Qualifications Bachelor\'s degree in computer science, Engineering, or related field or ...

Genworth Financial

Data Scientist Manager

Richmond, VA · On-site +1

POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern ... cloud computing environment * 5+ years of experience in one or more of the following: database ...

Genworth

Data Scientist Manager

Richmond, VA · On-site +1

$115.90K - $220.20K/yr

POSITION TITLE Data Scientist Manager POSITION LOCATION Richmond, VA (preferred) Remote US (Eastern ... cloud computing environment * 5+ years of experience in one or more of the following: database ...

Naval Sea Systems Command

ENGINEER/SCIENTIST

Dahlgren, VA · On-site +1

$101.40K - $156.76K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Examples of experience may include building a multi system computing infrastructure including the ...

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What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

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Remote Scientific Computing jobs near you
Data Scientist with Security Clearance

Data Scientist with Security Clearance

NT Concepts

Herndon, VA • On-site, Remote

Other

Posted 8 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

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