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Remote Environmental Science Jobs in Hopkins, MN

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

... environments Preferred qualifications * Master's degree in Data Science, Computer Science ... International relocation and international remote working arrangements outside of the United States ...

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All JobsEnvironmental Science JobsRemote Environmental Science JobsRemote Environmental Science Jobs in Hopkins, MN

Remote Environmental Science information

See Hopkins, MN salary details

$41.6K

$85.4K

$124.8K

How much do remote environmental science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote environmental science in Hopkins, MN is $85,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a remote environmental science job?

A remote environmental science job is a position that allows professionals to work from locations outside of a traditional office or laboratory setting, often from home or while traveling. These roles typically involve tasks such as data analysis, report writing, remote sensing, consulting, and environmental monitoring using digital tools. Remote environmental scientists contribute to research, policy, and project management without needing to be physically present at field sites, although occasional site visits may be required. This flexibility allows for better work-life balance and can open opportunities to collaborate with global teams. Remote roles are increasingly common as technology enables more scientific work to be conducted virtually.

How do remote environmental science professionals typically collaborate with field teams and other stakeholders?

Remote environmental science professionals often rely on digital communication tools, such as video conferencing, cloud-based data sharing, and collaborative project management platforms, to stay connected with field teams and stakeholders. They may participate in regular virtual meetings to discuss project updates, analyze collected data, and coordinate research activities. Effective communication and strong organizational skills are essential to ensure alignment and successful project outcomes, even when team members are dispersed across different locations. Building strong professional relationships remotely and staying proactive in communication helps overcome challenges associated with working outside a traditional office or field setting.

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

To thrive as a Remote Environmental Scientist, you need a solid background in environmental science, data analysis, and report writing, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and environmental modeling systems is typically required, along with certifications like GIS Professional (GISP) or LEED accreditation. Strong communication, problem-solving, and self-management skills are crucial for collaborating with remote teams and stakeholders. These competencies enable effective environmental assessments, data-driven decision-making, and successful project outcomes from a remote work environment.

What is the difference between Remote Environmental Science vs Remote Environmental Technician?

AspectRemote Environmental ScienceRemote Environmental Technician
Required CredentialsBachelor's or higher in environmental science or related field; certifications varyAssociate's or bachelor's in environmental technology or related field; certifications may include safety or technical training
Work EnvironmentPrimarily office-based or remote; fieldwork may be occasionalMostly remote with some field site visits or technical tasks
Employer & Industry UsageEnvironmental consulting firms, government agencies, research institutionsEnvironmental service companies, government agencies, industrial firms
Common Search & ComparisonRemote Environmental ScienceRemote Environmental Technician

Remote Environmental Science roles focus on research, data analysis, and environmental planning, often requiring higher education and offering more analytical responsibilities. In contrast, Remote Environmental Technicians handle technical tasks, site assessments, and field data collection, typically with technical certifications. Both roles are vital in environmental projects but differ in scope, credentials, and daily tasks.

What are popular job titles related to Remote Environmental Science jobs in Hopkins, MN?

For Remote Environmental Science jobs in Hopkins, MN, the most frequently searched job titles are:

What job categories do people searching Remote Environmental Science jobs in Hopkins, MN look for?

The top searched job categories for Remote Environmental Science jobs in Hopkins, MN are:

What cities near Hopkins, MN are hiring for Remote Environmental Science jobs?

Cities near Hopkins, MN with the most Remote Environmental Science job openings:

Remote Environmental Science jobs near you
Infographic showing various Remote Environmental Science job openings in Hopkins, MN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 3% Contract, and 1% Nights. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $85,382 per year, or $41 per hour.

Senior Data Scientist

General Mills

Minneapolis, MN • On-site, Remote

$110K - $184K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

70th of 444 rated food and drinks producers

Job description

COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.
We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.
This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.
What you will do
  • Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases
  • Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies
  • Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions
  • Build production-ready, reusable, and scalable models that generate timely, actionable insights
  • Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation
  • Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness
  • Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices
  • Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward
  • Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists

Why this role stands out
  • You will work on cutting-edge AI initiatives that are already delivering business value
  • You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company

Minimum Qualifications
  • 5+ years of experience in data science, decision sciences, or a related quantitative field
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving
  • Strong proficiency in Python and SQL
  • Experience working with complex databases and modern data science tooling
  • Ability to spot questionable data, investigate issues, and improve the overall solution
  • Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions
  • Experience with cloud platforms such as GCP or similar environments

Preferred qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Experience building large-scale AI or machine learning models
  • Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language
  • Experience in operational or commercial business environments
  • Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions

A strong fit for this role will bring
  • A balance of deep data science expertise and practical engineering exposure
  • Curiosity about where AI can create value and the discipline to prioritize the right use cases
  • Confidence working with ambiguity and shaping structure where it does not yet exist
  • A collaborative mindset and the ability to influence across technical and non-technical stakeholders

Additional considerations
  • International relocation and international remote working arrangements outside of the United States will not be considered
  • Candidates must be currently authorized to work in the United States on a full-time basis

SALARY RANGE
The salary range for this position is:
$110,800 - $184,800 Annual
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.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.

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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

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