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Remote Aperture Science 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 ... Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms * Design and ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

Research / Scientific The postdoctoral researcher will work at the Hydrologic Innovation and Remote ... The candidate will produce maps of land deformation from Synthetic Aperture Radar satellite imagery ...

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Remote Aperture Science information

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

I'm sorry, but 'Remote Aperture Science' is not a recognized real-world professional occupation, so I cannot provide an accurate job-relevant response.

What are some common challenges faced by professionals working in remote scientific research roles, and how can they be addressed?

Professionals in remote scientific research roles often face challenges such as maintaining effective communication with colleagues, staying motivated without in-person supervision, and managing data securely. To address these issues, it's important to leverage collaboration tools, establish regular check-ins with the team, and follow best practices for data management. Building a structured work routine and proactively seeking feedback can also help ensure productivity and a sense of connection with the broader research community.

What is a Remote Aperture Science job?

A Remote Aperture Science job typically refers to positions related to scientific research and technology development that are performed remotely, often involving data analysis, research, and collaboration using digital tools. While 'Aperture Science' is widely recognized as a fictional company in the Portal video game series, in real-world contexts, the term might be used by companies or groups inspired by the game's innovative and scientific themes. Remote roles in this field generally require strong analytical skills, familiarity with scientific methods, and the ability to work independently from a home office or other remote location.

What is the difference between Remote Aperture Science vs Remote Test Technician?

AspectRemote Aperture ScienceRemote Test Technician
Required CredentialsTechnical degrees, certifications in testing or engineeringTechnical certifications, experience in testing procedures
Work EnvironmentRemote, laboratory or testing facilitiesRemote, testing sites or labs
Industry UsageResearch, development, and testing in science and tech sectorsProduct testing, quality assurance in manufacturing or tech
Common Search IntentUnderstanding roles in scientific testingJob opportunities in testing and quality assurance

Remote Aperture Science and Remote Test Technician roles both involve scientific and technical testing, often requiring similar certifications and work environments. However, Remote Aperture Science typically focuses on research and experimental testing within scientific labs, while Remote Test Technicians are more involved in product testing and quality assurance in manufacturing or tech industries. Both roles are essential in their fields and often searched by candidates with technical backgrounds seeking remote opportunities in science and testing.

What are the most commonly searched types of Aperture Science jobs in Virginia? The most popular types of Aperture Science jobs in Virginia are:
What are popular job titles related to Remote Aperture Science jobs in Virginia? For Remote Aperture Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Aperture Science jobs in Virginia look for? The top searched job categories for Remote Aperture Science jobs in Virginia are:
What cities in Virginia are hiring for Remote Aperture Science jobs? Cities in Virginia with the most Remote Aperture Science job openings:
Remote Aperture Science jobs near you
Data Scientist

Data Scientist

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

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