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Image Data Scientist Jobs in Seattle, WA (NOW HIRING)

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various ... Understanding of machine learning techniques including predictive modeling, text and image mining ...

Data Scientist III

Seattle, WA ยท On-site

$126.98 - $200.68/hr

The Translational Data Scientist III develops, curates, and analyzes multimodal research datasets ... Core competency in at least one of the following: genomics, natural language, image processing ...

We're looking for an Applied Scientist to develop computer vision and machine learning models that ... image, and sensor data from Amazon's operational environments You'll work closely with software ...

We're looking for an Applied Scientist to develop computer vision and machine learning models that ... image, and sensor data from Amazon's operational environments You'll work closely with software ...

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ... image recognition, declarative markup, and other approaches, to enable businesses of all sizes to ...

... image, and sensor data from Amazon's operational environments. You'll work closely with software ... As an applied scientist here, you'll partner directly with engineers who build the production ...

Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our ... The scientist will be responsible for overseeing EM image processing and will participate in the ...

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Showing results 1-20

Image Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do image data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for image data scientist in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

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.

Infographic showing various Image Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Principal Data Scientist

Redmond, WA โ€ข On-site

DevSelect
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 6 days ago


Job description

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users.
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc...
Qualifications:
  • PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field
  • Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Telecom experience desired
  • Distributed computing systems knowledge is a plus