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Remote Fashion Computer Science Jobs in Minnesota

... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ... This role stands on the edge of computer science/architecture and scientific applications which ...

IT Project Manager - Remote

Chaska, MN · On-site +1

$120K - $160K/yr

Bachelor's degree in computer science or related field or equivalent experience * Proven track ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... A degree from an accredited College/University in Software Engineering, Computer Science, Business ...

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Fashion Computer Science information

What are the key skills and qualifications needed to thrive in a remote fashion computer science role?

To excel in a remote fashion computer science position, you need a solid background in computer science, data analysis, and an understanding of fashion industry trends, typically supported by a degree in computer science or related field. Experience with programming languages (such as Python or R), data visualization tools, and familiarity with fashion-specific software (like CLO 3D or Browzwear) are often required. Strong communication, creativity, and self-motivation are crucial soft skills for collaborating virtually and innovating within digital fashion projects. These skills ensure you can effectively bridge technology and fashion, driving innovation and efficiency in a remote work environment.

What is the difference between Remote Fashion Computer Science vs Remote Fashion Data Analysis?

AspectRemote Fashion Computer ScienceRemote Fashion Data Analysis
Required CredentialsBachelor's in Computer Science, relevant programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentCollaborative teams, tech-focused environmentData-driven projects, analytical setting
Industry UsageDeveloping fashion tech, software solutionsInterpreting fashion data, trend analysis
Common Search/ComparisonRemote Fashion Computer Science vs Remote Fashion Data Analysis

Remote Fashion Computer Science focuses on software development, programming, and tech solutions within the fashion industry, requiring coding skills and computer science credentials. In contrast, Remote Fashion Data Analysis emphasizes interpreting fashion data, trends, and analytics, often requiring statistical expertise. Both roles are remote, industry-specific, and involve collaboration, but they differ in core skills and daily tasks.

What is a remote fashion computer science job?

A Remote Fashion Computer Science job involves applying computer science principles and technologies to solve problems or create innovations within the fashion industry, all while working remotely. Professionals in this field might work on projects such as developing virtual fitting rooms, fashion recommendation algorithms, e-commerce platforms, or using AI to forecast trends. The remote aspect means they can perform their duties from anywhere with an internet connection, collaborating with fashion brands, retailers, or tech companies. This role requires a blend of technical programming skills and a strong understanding of fashion trends and consumer behavior.

How does a remote fashion computer science professional typically collaborate with design and development teams?

Remote fashion computer science professionals often work closely with designers, product developers, and data analysts through virtual meetings and collaborative software tools. Communication is key, as you'll need to translate technical concepts into actionable insights for creative teams, often using project management platforms and shared digital workspaces. Regular check-ins and clear documentation help bridge the gap between technical and creative functions, ensuring smooth project progress even when working from different locations.
What are popular job titles related to Remote Fashion Computer Science jobs in Minnesota? For Remote Fashion Computer Science jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Fashion Computer Science jobs? Cities in Minnesota with the most Remote Fashion Computer Science job openings:
Infographic showing various Remote Fashion Computer Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Data Scientist, Research and Development

Cargill

Wayzata, MN • Remote

$120K - $140K/yr

Other

This job post has expired today. Applications are no longer accepted.


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