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Remote Image Processing Scientist Jobs in Minnesota

CSAA

In order for your application to be correctly processed please sign-in before you apply Internal ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Enara Health

Remote Exercise Specialist

Rochester, MN · On-site +1

$22 - $31/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... If you would like more information about how your data is processed, please contact us.

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... If you would like more information about how your data is processed, please contact us. apply for ...

Quora

$139K - $168K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

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Remote Image Processing Scientist information

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

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

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.
What are the most commonly searched types of Image Processing Scientist jobs in Minnesota? The most popular types of Image Processing Scientist jobs in Minnesota are:
What are popular job titles related to Remote Image Processing Scientist jobs in Minnesota? For Remote Image Processing Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Scientist jobs in Minnesota look for? The top searched job categories for Remote Image Processing Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Image Processing Scientist jobs? Cities in Minnesota with the most Remote Image Processing Scientist job openings:
Remote Image Processing Scientist jobs near you
Infographic showing various Remote Image Processing Scientist job openings in Minnesota as of August 2026, with employment types broken down into 4% Internship, 75% Full Time, 16% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist, Research and Development

Cargill

Wayzata, MN • Remote

$120K - $140K/yr

Other

Re-posted 19 hours ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. 
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

As a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions. This role will work collaboratively in multidisciplinary teams to develop complex proofs of concept, minimum viable products, and scale fully deployed solutions across multiple manufacturing facilities. In this role, you will create complex predictive and computer vision models that help deliver significant value to the company's businesses.

Key Accountabilities
  • Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets.
  • Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
  • Take ownership for the entire data science workflow that includes a well-defined, complex project scope, exploratory data analysis, model development, deployment and monitoring.
  • Continuously seek out best practices and develop skills.
  • Create scalable structures to accelerate deployment to multiple facilities.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned

This position is preferred to work from the Wayzata, MN headquarters location but could also work remote from a home-office location anywhere in the United States.

Qualifications
MINIMUM QUALIFICATIONS
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field; or equivalent practical experience.
  • Minimum of 4 years of relevant professional experience, OR 3 years experience with a Master's degree, OR 2 years experience with a Ph.D. in a related discipline.
  • Proficiency in Python programming.
  • Hands-on experience developing computer vision models for image classification, object detection, and segmentation.
  • Experience with computer vision tools, both traditional and deep learning, such as OpenCV, PyTorch, etc including transfer learning and fine-tuning deep learning models.
  • Experience deploying ML models using a containerized deployment framework (Docker, Podman, etc).
  • Proven ability to develop proofs of concept and scale them into full production solutions.
  • Demonstrated ability to present complex concepts to non-technical audiences.
PREFERRED QUALIFICATIONS
  • Master's degree or PhD in data science, computer science, math, engineering or related field
  • Solid understanding of Computer Vision fundamentals.
  • Knowledge of MLOps practices for productionizing vision models.
  • Experience scaling a production solution to multiple sites
  • Experience working with continuous integration and delivery (CI/CD) pipelines
  • Experience working with AWS
  • Experience in manufacturing, supply chain, or agriculture
Compensation Data

The expected annual salary for this position is $120,000-$140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

#LI-HS1 #themuse #fbg #LI-Remote

Equal Opportunity Employer, including Disability/Vet.

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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