ZipRecruiter

Log In

2

Remote Computer Science Research Jobs in Minnesota

York Solutions, LLC

ML Engineer

Saint Paul, MN · On-site +1

Collaborate with research scientists, data scientists, and software engineers to translate research ... D.) or equivalent industry experience in Computer Science, Machine Learning, or related fields. 5+ ...

Bio-Techne

Network Engineer

Minneapolis, MN · On-site +1

$78.10K - $128.50K/yr

Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent ... Experience with VPN technologies (IPsec, SSL) and remote access solutions. * Strong troubleshooting ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104.50K - $137.70K/yr

The science and engineering of AI are rapidly evolving. We are looking for a lead who drives ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

ZEISS

Applications Engineer II

Minneapolis, MN · On-site +1

Hybrid: 3 days in office and 2 days remote. Sound Interesting? Here's what you'll do: Training ... Bachelor's degree in Mechanical Engineering, Computer Science, Physics, or a related technical ...

Genesis10

Lead AI Engineer - Remote

Minnetonka, MN · Remote

$145K - $150K/yr

Genesis10 is currently seeking a Lead AI Engineer for a remote position with a Leading Risk ... D. in Computer Science, Engineering, Machine Learning, Data Science, or a related quantitative ...

next page

Showing results 1-20

People also search for

All JobsComputer Science Research JobsRemote Computer Science Research JobsRemote Computer Science Research Jobs in Minnesota

Remote Computer Science Research information

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.

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 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 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.

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
Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)

Sr. Data Scientist - Agentic AI (Minneapolis preferred, remote eligible)

General Mills

Minneapolis, MN • On-site, Remote

$108.90K - $181.70K/yr

Full-time

Medical, Retirement

Posted 28 days ago

General Mills rating

8.1

Company rating: 8.1 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

65th of 379 rated food and drinks producers

Job description

JOB OVERVIEW:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with product owners, business partners, and other Data Scientists to define the technical problem statement and the hypothesis to test. In addition, you will develop
efficient and accurate analytical models that mimic business decisions.
KEY RESPONSIBILITIES:
  • Design & implementation of LLM-based agentic AI solutions for semi-structured data, covering problem framing, data curation, and evaluation across classification, entity extraction & summarization.
  • Develop high-quality Agentic AI and RAG workflows, optimizing ingestion, chunking, embeddings, and vector indexing with established frameworks and stores to maximize retrieval performance.
  • Technically evaluate novel technology to help inform on the best effort/improvement tradeoffs.
  • Quickly learn and iterate with novel technologies/procedures, particularly but not exclusively around generative AI.
  • Implement appropriate generative AI techniques and technologies to solve business problems, including prompt and LLM fine-tuning, RAG, agentic workflows, and tool designs.
  • Help business stakeholders translate their objectives into measurable outcomes.
  • Apply critical thinking to frame business needs into statistical problems and develop solutions that balance technical completeness/complexity and timely value delivery.
  • Be a storyteller to explain the 'why and how' of your recommendations to build trust in your solutions.
  • Have passion to advocate and educate on the value and importance of data-driven decision-making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
  • Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists.

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in data science, Computer Science, Engineering, Math, Statistics or other related fields
  • 6+ years of relevant experience with at least 2 years of relevant experience in Data Science.
  • Strong foundation of statistical reasoning and critical thinking, with a proven track record of effectively finding solutions to stakeholder problem statements.
  • Experience with Python, including some exposure to package development and foundational programming principles.
  • Some experience with generative AI concepts, including embeddings, LLMs, agents, and RAG.
  • Experience writing complex SQL queries.
  • Understanding data warehousing and complex databases
  • Experience with machine learning and data visualization tools.
  • Number sense, ability to identify questionable data, dig in and address it.
  • Strong communication and collaboration skills to understand business needs, frame problems in familiar language (without compromising statistical fidelity), and present solutions that clearly translate to business value.

PREFERRED QUALIFICATIONS:
  • Experience developing and deploying Python packages and managing large-scale projects
  • Experience developing/deploying generative AI technology, including agents, RAG, or similar.
  • Experience with Google Cloud Platform or similar technology.
  • Applied experience in consumer goods/supply chain
  • Master's degree in data science, Computer Science, Engineering, Math, or Statistics preferred.

ADDITIONAL CONSIDERATIONS:
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis, and General Mills will not sponsor applicants for this position for work visas.

Salary Range
The salary range for this position is $108900.00 - $181700.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.

What General Mills employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

General Mills logo

About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

View All General Mills Jobs

Apply