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Image Data Scientist Jobs in California (NOW HIRING)

Doist

Image Data Scientist

South San Francisco, CA · On-site

$120 - $180/hr

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 ...

Triwill Group

Staff Data Scientist

San Francisco, CA · On-site

$220 - $280/hr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

Scribd, Inc

Data Scientist II

San Francisco, CA · On-site

$184K/yr

... text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of ... Role Overview We are seeking a Data Scientist II with experience developing and deploying machine ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

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Data Scientist II

San Francisco, CA · On-site

$97 - $175/hr

... text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of ... Role Overview We are seeking a Data Scientist II with experience developing and deploying machine ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Strong foundation in modern computer vision and deep learning: image classification, object ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

Strong foundation in modern computer vision and deep learning: image classification, object ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150 - $210/hr

Strong foundation in modern computer vision and deep learning: image classification, object ... Join a growing team of data scientists, machine learning, and software engineers in an agile ...

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

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All JobsImage Data Scientist JobsImage Data Scientist Jobs in California

Image Data Scientist information

What is an image data scientist?

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.

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 popular job titles related to Image Data Scientist jobs in California?

For Image Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Image Data Scientist jobs in California look for?

The top searched job categories for Image Data Scientist jobs in California are:

What cities in California are hiring for Image Data Scientist jobs?

Cities in California with the most Image Data Scientist job openings:

Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Image Data Scientist

Doist

South San Francisco, CA • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement

Posted 8 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.

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.
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