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Remote Environmental Science Jobs in Minnesota (NOW HIRING)

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.

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 ...

Enara Health

Remote Exercise Specialist

Rochester, MN · On-site +1

$22 - $31/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... Enara Health offers a supportive and collaborative work environment where you can make a real ...

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ... Enara Health offers a supportive and collaborative work environment where you can make a real ...

CSAA

... and external environment. * Documents assumptions, methods, sources and considerations in an ... BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor ...

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Showing results 21-40

All JobsEnvironmental Science JobsRemote Environmental Science JobsRemote Environmental Science Jobs in Minnesota

Remote Environmental Science information

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 the most commonly searched types of Environmental Science jobs in Minnesota?

The most popular types of Environmental Science jobs in Minnesota are:

What are popular job titles related to Remote Environmental Science jobs in Minnesota?

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

What job categories do people searching Remote Environmental Science jobs in Minnesota look for?

The top searched job categories for Remote Environmental Science jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Environmental Science jobs?

Cities in Minnesota with the most Remote Environmental Science job openings:

Remote Environmental Science jobs near you
Infographic showing various Remote Environmental Science job openings in Minnesota as of September 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% Remote job distribution.

Sr Data Scientist - Remote

Minnetonka, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees
Learn more about UnitedHealth Groupexternal

$91K - $163K/yr

Full-time

Retirement

Posted 14 days ago

Key responsibilities

  • Design, develop, and deploy AI-powered solutions to address complex business challenges.

  • Analyze large, complex, and diverse datasets to identify trends, anomalies, and hidden relationships.

  • Develop predictive, prescriptive, and optimization models to improve business performance and operational effectiveness.

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

194th of 898 rated healthcare providers

Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together
We are seeking a highly analytical and innovative Senior Data Scientist to join a strategic enterprise program focused on transforming complex business processes through advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML). This role combines deep data science expertise with solid business acumen to uncover hidden patterns, identify opportunities that are not readily visible through traditional analysis, and deliver actionable recommendations that drive measurable business outcomes. The successful candidate will leverage statistical modeling, machine learning, predictive analytics, and modern AI techniques to solve complex business challenges, optimize operational processes, and design scalable decision-support solutions across the enterprise.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design, develop, and deploy AI-powered solutions to address complex business challenges, collaborating with research, engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
  • Analyze large, complex, and diverse datasets to identify trends, anomalies, hidden relationships, and previously undiscovered insights across the enterprise
  • Develop predictive, prescriptive, and optimization models to improve business performance and operational effectiveness using machine learning, deep learning, NLP, and generative AI capabilities
  • Formulate hypotheses, conduct experiments, and validate findings using rigorous analytical and statistical methodologies
  • Evaluate emerging AI/ML trends to inform solution design, strategic innovation, and continuous improvement across enterprise applications
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Partner with business, product, operations, and technology teams to translate complex analytical findings into clear business recommendations and executive-level insights
  • Design and implement scalable analytical frameworks, reusable models, and decision-support solutions
  • Mentor junior data scientists and analysts on analytical techniques, experimental design, and model development

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or AI-related roles
  • 3+ years of experience programming in Python, R, or SQL for data modeling and analysis
  • 3+ years of experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
  • 2+ years of experience working with large-scale structured and unstructured enterprise datasets
  • 2+ years of experience with experimental design, hypothesis testing, optimization, and predictive modeling

Preferred Qualifications:
  • Experience applying Generative AI, Large Language Models (LLMs), Agentic AI, or advanced AI techniques to business problems
  • Experience building decision intelligence solutions that influence operational or strategic outcomes
  • Knowledge of cloud-based analytics platforms and modern data ecosystems
  • Experience developing recommendation engines, pattern detection frameworks, anomaly detection models, or intelligent automation solutions
  • Experience operating in highly regulated, data-intensive enterprise environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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