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Computer Vision Data Scientist Jobs (NOW HIRING)

Sr. Computer Vision Engineer

Herndon, VA · Remote

$107K - $147K/yr

... data scientist with at least 2 years focused on computer vision Bachelor's Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data Science & Artificial Intelligence Department ...

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Collaborate with software engineers and data scientists to integrate models into products. * Research and evaluate emerging computer vision frameworks and technologies. Required Qualifications * 5+ ...

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Required : • 5+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientist with at least 2 years focused on computer vision • Bachelor's Degree or ...

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We are seeking a Data Scientist to join our team and support our client in Ashburn, VA. The ideal ... Apply computer vision, statistical, and machine-learning techniques to design, train, evaluate ...

Computer Vision Engineer

Irving, TX · On-site

$107K - $126K/yr

Collaborate with software engineers and data scientists to integrate models into products. * Research and evaluate emerging computer vision frameworks and technologies. Required Qualifications * 5+ ...

Showing results 21-40

Computer Vision Data Scientist information

See salary details

$46K

$165K

$243.5K

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 the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 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.

What cities are hiring for Computer Vision Data Scientist jobs?

Cities with the most Computer Vision Data Scientist job openings:

What states have the most Computer Vision Data Scientist jobs?

States with the most job openings for Computer Vision Data Scientist jobs include:

What are popular job titles related to Computer Vision Data Scientist jobs?

For Computer Vision Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Computer Vision Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Vision Data Infrastructure Scientist: Scale AI Pipelines (San Francisco)

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago


Job description

A leading AI research institution is seeking a Research Scientist specializing in Vision Data Infrastructure. This role focuses on building scalable pipelines for image and video datasets, ensuring ethical data collection, and leveraging simulation tools for synthetic data generation. Ideal candidates will have strong experience in data engineering and computer vision. A competitive salary package and excellent benefits are offered.
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