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Computer Vision Data Scientist Jobs in Washington, DC

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Experience with deep learning, natural language processing, computer vision, graph analytics, time ...

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Glen Echo, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Rockville, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Takoma Park, MD · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

... computer vision, metrics, information science, artificial intelligence, and autonomous systems. Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Large Data Modeling: risk modeling, community detection, classification, computer vision, and ...

Showing results 41-60

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 Sep 9, 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 is a computer vision data scientist?

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.

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.

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.

Data Scientist

Springfield, VA • On-site

Leidos
IT Services • 10K+ employees

Full-time

Re-posted 15 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services


Job description

Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
  • Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
  • Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
  • Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
  • Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
  • Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
  • Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
  • Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
  • Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
  • Support data governance, security, compliance, and responsible AI practices within government mission environments.
  • Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
  • Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.

Required Technical Skills
  • Statistical modeling and inference
  • Machine learning and artificial intelligence
  • Predictive analytics and forecasting
  • Data mining and pattern analysis
  • Feature engineering and model evaluation
  • Data wrangling, integration, and transformation
  • Python, R, SQL, and scientific computing libraries
  • Visualization and dashboarding tools
  • Model deployment, monitoring, and lifecycle support
  • Documentation, briefing development, and technical communication

Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
  • Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
  • Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
  • Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
  • Strong programming experience in Python, R, SQL, or similar analytic languages.
  • Experience working with large, complex, and potentially disparate datasets in enterprise environments.
  • Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
  • Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications
  • Master's degree or Ph.D. in a relevant quantitative or technical discipline.
  • Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
  • Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
  • Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
  • Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
  • Experience briefing senior government leadership and mission stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
August 27, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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