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Remote Data Scientist Deep Learning Jobs in Virginia

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Experience with Deep Learning methodology and state of the art libraries * Knowledge of data ... Bachelor's degree in computer science, information systems, engineering, business, or a scientific ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Dive deep into complex and often nebulous requirements, applying expertise in areas such as time ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Dive deep into complex and often nebulous requirements, applying expertise in areas such as time ...

1872 Consulting

Sr. Computer Vision Engineer

Herndon, VA · Remote

$107.50K - $147.60K/yr

... deep learning for next-generation satellite imagery analytics * Plan and conduct research in ... machine learning engineer, or data scientist with at least 2 years focused on computer vision

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... Deep knowledge of relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... Deep knowledge of relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

13-Apr-2026 Data Scientist US (Remote) 10570BR Company Summary As the recognized global standard ... for learning, growing and making a difference. At Deltek, we take immense pride in creating a ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Maximus

Principal Data Scientist

VA · On-site +1

... is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data ... Python, R, etc.). - Experience with AI / Machine Learning. - Experience working as a contributor on ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

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Remote Data Scientist Deep Learning information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Deep Learning, and why are they important?

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are the most commonly searched types of Data Scientist Deep Learning jobs in Virginia? The most popular types of Data Scientist Deep Learning jobs in Virginia are:
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Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Posted 6 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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