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Computer Vision Data Scientist Jobs (NOW HIRING)

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and ...

Pyramid Consulting, Inc.

Data Scientist

Mclean, VA · On-site

$60 - $65/hr

Immediate need for a talented Data Scientist. This is a 06+ months contract opportunity with ... Computer Vision Coding & Software Engineering * Hands-on experience coding computer vision or image ...

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Design, train, and optimize deep learning and computer vision models for automated defect detection ...

Unissant

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 ...

UNISSANT

Data Scientist

Ashburn, VA

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 ...

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 ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$200 - $250/hr

As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you ... computer vision, NLP, and multimodal approaches. * Build and fine‑tune multimodal document ...

Leidos

Data Scientist Thought Leader

Gaithersburg, MD · On-site

We are seeking a Data Scientist Thought Leader for the Maru program. In this strategic, high ... Expertise in applying computer vision and image analysis techniques to satellite imagery and ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. * Work alongside other AI/ML and DevOps engineers to ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. * Work alongside other AI/ML and DevOps engineers to ...

Gilead

Sr Analyst, Data Scientist

Foster City, CA · On-site

The Data Scientist will research, develop, and operationalize advanced machine learning and ... Research and develop machine learning algorithms across quantitative analytics, computer vision ...

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Computer Vision Data Scientist information

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$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.

Principal Computer Vision Engineer

Herndon, VA • Remote

1872 Consulting
IT Services • 11 - 50 employees
Learn more about 1872 Consultingexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Job Title

Responsibilities:

  • Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics
  • Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation
  • Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems
  • Take part in the entire project lifecycle from requirements development to deployment
  • Collaborate with management and technical team on product strategy
  • Leads team members to accomplish project goals, contribute to technical proposals as needed, and interact with customers to ensure requirements are understood and met

Qualifications:

  • 8+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientists 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 another computational field
  • Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc.
  • Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms
  • Python 3 proficiency
  • Experience developing deep learning-based software solutions. In particular, developing models in TensorFlow or PyTorch, and Keras
  • Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc.
  • Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights
  • Must be a US Person for this role

Desired Skills:

  • 10+ years of hands-on experience as a computer vision engineer, machine learning engineer or data scientist
  • Ph.D./Master's degree in the previously mentioned fields
  • Experience working with remote sensing data, ideally satellite imagery with an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards
  • Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3)
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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