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Computer Vision Data Scientist Jobs in Washington, DC

Axle

Data Scientist II

Rockville, MD

Develop, implement, and optimize LLMs and computer vision algorithms for processing and analyzing biomedical text and image data. * Design and develop software tools and pipelines for automated image ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Generate and analyze synthetic data to augment computer vision models where real-world data is ...

Intellectix

Data Scientist

Springfield, VA · On-site

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Computer vision-related experience with torchvision or tensorflow object detection APIs.

NT Concepts

Data Scientist

Chantilly, VA · Hybrid

We are seeking a Data Scientist to support disruptive Artificial Intelligence and Advanced ... You will work to enhance the efficacy of computer vision assets in scalable and secure manners to ...

Intellectix

Data Scientist

Springfield, VA

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Computer vision-related experience with torchvision or tensorflow object detection APIs.

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

R0238504 Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative ... In this role, you will leverage your expertise in artificial intelligence, data science, and ...

NT Concepts

Data Scientist

Chantilly, VA · On-site

We are seeking a Data Scientist to support disruptive Artificial Intelligence and Advanced ... You will work to enhance the efficacy of computer vision assets in scalable and secure manners to ...

Cmu

Data Scientist

Arlington, VA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Our current work includes research in generative AI and large language models, computer vision ...

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All JobsComputer Vision Data Scientist JobsComputer Vision Data Scientist Jobs in Washington, DC

Computer Vision Data Scientist information

See Washington, DC salary details

$52.1K

$186.9K

$275.8K

How much do computer vision data scientist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computer vision data scientist in Washington, DC is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What are Computer Vision Data Scientists?

Computer Vision Data Scientists are professionals who use data science techniques and machine learning to enable computers to interpret and understand visual information from images or videos. They design and develop algorithms that can detect, recognize, and classify objects, faces, scenes, and activities within visual data. Their work is critical in applications like autonomous vehicles, medical imaging, surveillance, and augmented reality. They often work with deep learning frameworks, large datasets, and require strong programming and analytical skills.

What are the key skills and qualifications needed to thrive as a Computer Vision Data Scientist, and why are they important?

To thrive as a Computer Vision Data Scientist, you need a strong background in machine learning, computer vision algorithms, and programming skills in languages like Python, often supported by a relevant degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with image processing libraries (like OpenCV), and knowledge of cloud platforms are typically required. Strong analytical thinking, creativity in problem-solving, and effective communication skills help in developing innovative solutions and collaborating with cross-functional teams. These skills are crucial for building robust computer vision models that drive impactful applications in areas like autonomous vehicles, healthcare, and retail.

What is the difference between Computer Vision Data Scientist vs Computer Vision Engineer?

AspectComputer Vision Data ScientistComputer Vision Engineer
Required SkillsData analysis, statistical modeling, machine learning, programming (Python, R)Software development, algorithm implementation, system deployment
Work EnvironmentResearch, data analysis, model developmentSoftware engineering, system integration, deployment
Common CertificationsMachine Learning, Data Science certificationsComputer Vision, Software Engineering certifications
Industry UsageResearch labs, data-driven companies, academiaTech companies, startups, product development teams

While both roles involve computer vision, the Computer Vision Data Scientist focuses on analyzing data, developing models, and deriving insights, whereas the Computer Vision Engineer emphasizes building, deploying, and maintaining computer vision systems in production environments.

How does a Computer Vision Data Scientist typically collaborate with cross-functional teams in a project setting?

As a Computer Vision Data Scientist, you will frequently collaborate with software engineers, product managers, and domain experts to develop and deploy machine learning models. You may work closely with data engineers to source and preprocess large datasets, and partner with software developers to integrate your models into production systems. Effective communication is crucial, as you'll need to explain complex technical concepts to non-technical stakeholders and translate business requirements into actionable data science tasks. This collaborative environment fosters innovation and ensures that computer vision solutions are aligned with broader organizational goals.
Cleared Computer Vision Scientist

Cleared Computer Vision Scientist

Accenture Federal Services

Washington, DC • On-site

Other

Posted 8 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 427 rated business services

Job description

The work: 

  • Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc. 
  • Deploy, maintain, and optimize ML models and data processes in a production environment 
  • Develop custom Computer Vision (CV) algorithms that translate into mission value 
  • Create tools to provide feedback from production ML models and data processes 
  • Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking
  • Stay up to date with the latest research and advancements in the field of computer vision and deep learning
  • Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets
  • Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency
  • Assist in the integration of computer vision algorithms into production systems and applications 
  • Document code, methodologies, and experimental results

Here's what you need: 

  • Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Proficiency with programming languages such as Python, C/C++ or Rust 
  • Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment and take direction from senior team members
  • Hands-on experience with developing computer vision models at scale from inception to business impact 
  • Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches 
  • U.S. Citizenship (No Dual citizenship)

Bonus points if you have: 

  • Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required
  • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC
  • Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP
  • Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment
  • Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar) 

Security Clearance: 

  • Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance

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