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Image Data Scientist Jobs (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Design and develop software tools and pipelines for automated image analysis, data integration, and ...

ATI

Data Scientist

Cudahy, WI · On-site

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

Algorithm design will involve image processing and machine learning methodologies from design to ... The Data Scientist is expected to prototype and design to the goals of functionality and ...

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Algorithm design will involve image processing and machine learning methodologies from design to ... The Data Scientist is expected to prototype and design to the goals of functionality and ...

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Image Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do image data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for image data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

AspectImage Data ScientistComputer Vision Engineer
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of machine learning and image processingBachelor's/Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision algorithms and software development
Work EnvironmentData analysis teams, research labs, AI-focused companiesSoftware development teams, robotics, autonomous vehicles, tech companies
Employer & Industry UsageTech firms, healthcare, retail, research institutionsAutonomous vehicles, robotics, surveillance, augmented reality

While both roles involve working with images and machine learning, an Image Data Scientist primarily focuses on analyzing and interpreting image data to extract insights, often working with large datasets and statistical models. In contrast, a Computer Vision Engineer develops algorithms and software to enable machines to interpret visual information, often involving real-time processing and deployment in applications like autonomous vehicles or AR systems.

What are Image Data Scientists?

Image Data Scientists are professionals who specialize in analyzing, processing, and interpreting image data using advanced techniques such as machine learning, computer vision, and statistical analysis. They work with large datasets of images to extract meaningful insights, develop algorithms for image recognition or classification, and help solve real-world problems in fields like healthcare, autonomous vehicles, and e-commerce. Their role often involves cleaning and labeling image data, building predictive models, and collaborating with software engineers and domain experts to deploy solutions.

What are some common challenges faced by Image Data Scientists when working with large-scale image datasets?

Image Data Scientists often encounter challenges related to managing and processing large volumes of image data, such as ensuring data quality, dealing with imbalanced classes, and handling high computational demands. Efficient data labeling and preprocessing are crucial, as poor annotation can impact model accuracy. Additionally, collaborating closely with engineers and domain experts is key to setting up robust data pipelines and validating model outputs in practical applications.

What are the key skills and qualifications needed to thrive as an Image Data Scientist, and why are they important?

To thrive as an Image Data Scientist, you need expertise in computer vision, machine learning, statistics, and a strong background in mathematics or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and image processing libraries is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These skills enable the development of accurate image analysis solutions, drive innovation, and ensure the successful implementation of models in real-world applications.
More about Image Data Scientist jobs
What cities are hiring for Image Data Scientist jobs? Cities with the most Image Data Scientist job openings:
What states have the most Image Data Scientist jobs? States with the most job openings for Image Data Scientist jobs include:
What job categories do people searching Image Data Scientist jobs look for? The top searched job categories for Image Data Scientist jobs are:
Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 1% Part Time, 4% Temporary, and 26% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Image Data Scientist

Image Data Scientist

Dawar Consulting, Inc.

South San Francisco, CA

$60 - $65/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 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