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Remote Detection Engineer Jobs in Minnesota (NOW HIRING)

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Sr Manager Cybersecurity Defense

Minneapolis, MN · On-site +1

$132K - $238K/yr

Deep understanding of and experience with monitoring and detection, incident response, artifact ... A Remote work arrangement means the team member worksfull-time from home oran alternatelocation ...

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Remote Detection Engineer information

What are Remote Detection Engineers?

Remote Detection Engineers are professionals who use technology and specialized tools to identify, monitor, and analyze data or threats from a distance, often in the realm of cybersecurity or environmental monitoring. They typically work with remote sensing equipment, network security systems, or other detection technologies to spot issues without needing to be physically present. Their role is critical for organizations that require constant vigilance over digital assets or remote environments. In cybersecurity, for example, they help detect and respond to threats to protect sensitive information. Remote Detection Engineers often collaborate with IT, security, or scientific teams depending on their industry.

What are the key skills and qualifications needed to thrive as a Remote Detection Engineer, and why are they important?

To thrive as a Remote Detection Engineer, you need a strong background in cybersecurity, threat detection, and incident response, often supported by a degree in computer science or a related field. Familiarity with SIEM platforms (like Splunk or ELK Stack), EDR tools, and certifications such as CISSP or GIAC are commonly required. Analytical thinking, problem-solving, and clear communication are critical soft skills for interpreting threats and collaborating with distributed teams. These skills ensure timely identification and mitigation of security threats, protecting organizational assets in a remote work environment.

How does a Remote Detection Engineer typically collaborate with other cybersecurity teams to improve threat detection?

As a Remote Detection Engineer, you will regularly collaborate with Security Operations Center (SOC) analysts, incident responders, and threat intelligence teams. Your main role involves developing and fine-tuning detection logic, which often requires direct feedback from analysts handling alerts and incidents. You may participate in virtual meetings, conduct knowledge-sharing sessions, and provide technical guidance to ensure detections are actionable and relevant. This cross-team collaboration is essential for refining detection strategies, addressing false positives, and staying ahead of emerging threats.
What are popular job titles related to Remote Detection Engineer jobs in Minnesota? For Remote Detection Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Detection Engineer jobs in Minnesota look for? The top searched job categories for Remote Detection Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Detection Engineer jobs? Cities in Minnesota with the most Remote Detection Engineer job openings:
Remote Detection Engineer jobs near you
Infographic showing various Remote Detection Engineer job openings in Minnesota as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Senior Data Scientist, Research and Development

Senior Data Scientist, Research and Development

Cargill

Wayzata, MN • Remote

$120K - $140K/yr

Other

Posted 12 days ago

Cargill rating

7.5

Company rating: 7.5 out of 10

Based on 219 frontline employees who took The Breakroom Quiz

17th of 48 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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