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Remote Computer Science Research Jobs in Minnesota

Mortenson

AI Researcher

Minneapolis, MN · On-site +1

$130K - $195K/yr

... drive applied research across operations. This position is eligible for remote work, pending ... Master's or PhD in Computer Science, AI, Data Science, Engineering or related field. * 3+ years in ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

... advanced research. At NextSilicon, everything we do is guided by three core values ... This role stands on the edge of computer science/architecture and scientific applications which ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a ... International relocation and international remote working arrangements outside of the United States ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Conduct research, testing, and analysis to develop machine learning algorithms and predictive ... A degree from an accredited College/University in Software Engineering, Computer Science, Business ...

HireTalent

Senior User Experience Researcher

Eagan, MN · Remote

... and remote teammates in user experience, product development, and technology teams. Research ... Qualifications Bachelor of Science or Master of Science in Human-Computer Interaction, Interaction ...

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Remote Computer Science Research information

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Minnesota? The most popular types of Computer Science Research jobs in Minnesota are:
What are popular job titles related to Remote Computer Science Research jobs in Minnesota? For Remote Computer Science Research jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Minnesota look for? The top searched job categories for Remote Computer Science Research jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Computer Science Research jobs? Cities in Minnesota with the most Remote Computer Science Research job openings:
Remote Computer Science Research jobs near you

Senior Data Scientist, Research and Development

Cargill

Wayzata, MN • Remote

$120K - $140K/yr

Other

Posted 24 days ago

Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

19th 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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