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Image Data Scientist Jobs (NOW HIRING)

The Image Data Scientist position serves as the company's technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops ...

The Image Data Scientist position serves as the company's technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops ...

The Image Data Scientist position serves as the company's technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops ...

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... Experience developing predictive algorithms, image classifiers, object detectors, and others.

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... Experience developing predictive algorithms, image classifiers, object detectors, and others.

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 ...

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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 Jul 12, 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:
Infographic showing various Image Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Image Data Scientist

Other

Posted 4 days ago


Job description

Description

Space Tango is an innovative space technology small business based in Lexington, Ky. Space Tango's mission is to manufacture health and technology products in space that create value and transformational solutions.  Space Tango provides space-based automated facilities and payloads to support research and development and small-scale manufacturing needs of our partners and customers in the Low Earth Orbit environment and beyond.  As a leader in automated systems, Space Tango pursues pathways to on-orbit production.  Our vision is to inspire, innovate, and create a better future for humanity by utilizing the environment of space. 


The Image Data Scientist position serves as the company's technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops, integrates, tests, and maintains software supporting Space Tango's spaceflight payloads, while leading the continual advancement of imaging hardware, software, and analysis capabilities. Working across software, electrical, mechanical, science, and operations teams, the Image Data Scientist supports both new mission development and existing flight systems, developing image acquisition, processing, path optimization, and post-processing solutions that enable autonomous operations and scientific investigations in microgravity. 


Travel may be required to support launches, customer activities, partner integrations, and mission operations. Because Space Tango's business centers around spaceflight missions, candidates should be comfortable supporting non-standard work schedules, including occasional evenings, weekends, holidays, and other non-nominal hours when required for launch campaigns, testing, or on-orbit operations. 


Key Responsibilities 

  • Design, develop, integrate, test, maintain, and enhance software supporting Space Tango payloads and facilities, including image acquisition, processing, visualization, and analysis capabilities. 
  • Develop new software features while maintaining and improving existing software platforms used across multiple spaceflight missions. 
  • Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results. 
  • Collaborate with external customers and internal scientists to translate scientific objectives into automated imaging and analysis workflows.  
  • Optimize image-processing algorithms for biological experiments conducted in microgravity. 
  • Develop computer vision techniques for feature detection, segmentation, tracking, quantification, and quality assessment.  
  • Support real-time and post-flight image processing for customer investigations.  
  • Support software integration, verification, testing, troubleshooting, and flight operations throughout the project lifecycle. 
  • Collaborate with science, software, mechanical, electrical, and mission operations teams to ensure imaging systems meet scientific objectives. 
  • Develop validation methods and quality metrics for imaging pipelines.  
  • Support payload integration, testing, flight operations, and customer data reviews.  
  • Evaluate emerging imaging technologies, AI methods, computer vision, and image-analysis techniques applicable to future missions. 
  • Serve as the company's technical owner for bioimaging software, analysis methods, and imaging workflows by establishing best practices and driving continual improvement across the organization.  

Requirements

 Qualifications, Skills, and Experience 


Required: 

  • BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline 
  • 5+ years developing scientific software or image-analysis applications 
  • Strong Python experience 
  • Experience developing scientific software, image-analysis applications, or data-processing pipelines. 
  • Experience with scientific imaging, computer vision, microscopy, or related image-processing applications.   
  • ImageJ, Cellpose, StarDist, SAM, PyTorch, Bio-Formats 
  • Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required for launches, testing, and mission operations. 

Preferred: 

  • Experience with spaceflight payloads, aerospace systems, robotics, lab automation, or embedded systems. 
  • Deep learning for image segmentation/classification 
  • Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows. 
  • Experience supporting biological or biomedical research. 
  • Experience collaborating with multidisciplinary engineering and scientific teams. 
  • Familiarity with NASA mission operations, quality systems, or regulated technical environments. 

Interpersonal Skills 

  • Strong attention to detail. 
  • Calm, disciplined execution during time-sensitive operations. 
  • Ability to collaborate across software, hardware, science, operations, and project management teams. 
  • Ability to manage multiple priorities while maintaining high attention to detail. 
  • Excellent written and verbal communication skills. 
  • Willingness to learn new systems, tools, and procedures quickly. 
  • Commitment to team success and mission reliability. 

Space Tango is an Equal Opportunity Employer; employment with Space Tango is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 


This position may require access to technology and information subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR). Employment is contingent upon the ability to obtain any necessary government authorizations to access and handle controlled technology and data. Candidates must be able to comply with all applicable export control regulations.