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Image Data Scientist Jobs in Wisconsin (NOW HIRING)

Core BTS

GCP Solutions Architect

Appleton, WI · On-site

$90 - $95/hr

... image. · Communicates accurately, concisely, and effectively. · Respectfully listens to others ... in Data Analytics, Computer Science, Information Systems, or a related field. · Previous ...

Infosys Limited

WI · On-site

$110 - $160/hr

In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below ... image or video generation. * Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins ...

BARCO

WI · On-site

$90 - $120/hr

Our IX R&D organization focuses on developing projection and image processing technologies for live ... Develop analysis tools and perform data processing using Python or other scientific programming ...

RRD

VDP Specialist (3rd Shift)

De Pere, WI · On-site

$16.50 - $20.25/hr

Required : • An Associate Degree in Computer Science or Imaging Technology or the equivalent in ... data processing, print technologies, production processes, work flow process are required, with ...

Old Dominion Freight Line, Inc.

Solutions Architect

Neenah, WI · On-site

$63.75 - $83.75/hr

Continuous Integration and Delivery through a Source-To-Image strategy * Application resiliency ... Developing the program/project solution architecture, including diagrams, data models, and other ...

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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 Wisconsin?

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

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

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

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

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

Image Data Scientist jobs near you
Infographic showing various Image Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director of Engineering, Architecture

GE HealthCare

Waukesha, WI • On-site

$164K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

98th of 494 rated machine equipment manufacturers

Job description

Job Description Summary
GE HealthCare is seeking a Director of Engineering, Architecture to lead the architecture and technical strategy for our next-generation Imaging Fabric platform. This platform enables AI-powered medical imaging, real-time visualization, and enterprise-scale performance across on-premises, edge, and cloud environments.
This role is responsible for defining enterprise architecture, driving platform modernization, and enabling the integration of AI capabilities into imaging products used by healthcare providers worldwide. The successful candidate is an accomplished technology leader with deep expertise in enterprise software architecture, high-performance distributed systems, and medical imaging platforms.
This is an applied AI architecture leadership role, focused on integrating AI capabilities into production imaging solutions rather than developing machine learning models.
Job Description
Role Description
  • Define and execute the enterprise architecture strategy for the Imaging Fabric platform.
  • Lead the design of scalable, secure, and high-performance imaging solutions across on-premises, edge, and cloud environments.
  • Drive platform modernization through cloud-native architectures, distributed systems, and performance optimization.
  • Partner with Product Management and Engineering leaders to translate business strategy into scalable technical solutions.
  • Enable the adoption of AI-powered imaging capabilities including visualization, intelligent streaming, workflow optimization, and image analysis.
  • Establish architecture standards, technical governance, and engineering best practices.
  • Mentor senior architects and provide technical leadership across global engineering teams.
  • Drive cross-functional collaboration to deliver reliable, enterprise-grade healthcare platforms.

Must-Have Qualifications
  • 10+ years of experience designing and leading enterprise-scale software architectures.
  • Proven experience building high-performance, distributed systems in healthcare, medical imaging, or similarly complex technology environments.
  • Deep understanding of medical imaging platforms, including DICOM, PACS, and clinical imaging workflows.
  • Experience architecting scalable solutions across on-premises, edge, and public cloud environments (AWS, Azure, or Google Cloud).
  • Strong knowledge of distributed systems, microservices, Kubernetes, containerized applications, and cloud-native architectures.
  • Experience integrating AI capabilities into enterprise software platforms, including AI inference, image analysis, or intelligent workflow optimization.
  • Strong programming background in C++, Python, Java, or Go.
  • Demonstrated success leading senior technical teams, influencing architecture across organizations, and driving enterprise technology strategy.
  • Bachelor's degree in Computer Science, Engineering, Medical Imaging, or a related technical discipline, or equivalent practical experience.

Preferred Qualifications
  • Master's degree or PhD in Computer Science, Medical Imaging, Computational Imaging, Computer Graphics, or a related field.
  • Experience with advanced medical imaging technologies including rendering, visualization, image streaming, and large-scale imaging datasets.
  • Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance computing.
  • Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement, intelligent streaming, or predictive data loading.
  • Familiarity with modern visualization techniques, scientific imaging, and enterprise healthcare platforms.
  • Experience mentoring senior architects and leading technical transformation across globally distributed engineering organizations.

Why GE HealthCare
At GE HealthCare, you'll help shape technologies that clinicians rely on every day to diagnose disease, guide treatment, and improve patient outcomes. You'll work alongside world-class engineers, architects, and product leaders to build scalable healthcare platforms that will define the future of medical imaging.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $164,000.00-$246,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No

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