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Computer Vision Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

... computer vision and recommendation systems Maintain compliance with security and governance ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

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 ...

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an ...

We are seeking an exceptional Data Scientist to lead algorithm evaluation and performance ... Deep experience evaluating machine learning, computer vision, or AI systems through quantitative ...

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

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 ...

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

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

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

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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 Jun 14, 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 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.
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:
Image Data Scientist

Image Data Scientist

Dawar Consulting, Inc.

South San Francisco, CA

$60 - $65/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 16 days ago


Job description

Our client, a world leader in life sciences and biotechnology, is looking for a “Image Data Scientist” based out of South San Francisco, CA.


Job Duration: Long Term Contract (Possibility Of Extension)



Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K


The Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology. This role will partner closely with pathologists and cross-functional scientists to develop and apply image processing, machine learning, and deep learning approaches to pathology data.


Key Responsibilities

  • Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
  • Process and analyze Whole Slide Images (WSI) using tools such as OpenSlide or similar.
  • Collaborate with pathologists and scientists to design image analysis workflows aligned with biological research questions.
  • Perform statistical analyses, data visualization, and support development of AI-driven pathology algorithms.
  • Contribute to computational tool development and workflow optimization.


Required Qualifications

  • MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
  • Strong Python programming skills including NumPy, Pandas, Scikit-learn, OpenCV.
  • Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics.
  • Hands-on experience with Whole Slide Image (WSI) analysis.
  • Expertise with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Experience working in HPC environments / SLURM.
  • Proficiency with Git/GitHub/GitLab version control.


Preferred Skills

  • Digital pathology platforms (HALO, Visiopharm, QuPath).
  • Object detection / segmentation tools (Detectron2).
  • Workflow orchestration (Dagster, Airflow).
  • Cloud computing exposure (AWS EC2).
  • GUI development using Tkinter or PyQt.




If interested, please send us your updated resume at

hr@dawarconsulting.com/akansha@dawarconsulting.com