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Remote Environmental Data Scientist Jobs in Rochester, MN

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Remote Nutrition Specialist

Rochester, MN ยท On-site +1

$26 - $36/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

CAD Specialist I

Rochester, MN ยท Remote

$50K - $74K/yr

Familiar with the Civil3D environment and basic functionality, including: * Familiar with concept ... Import and display of point data. * Ability to modify Civil3D styles to control the appearance and ...

New

Pharmacovigilance Expert

Rochester, MN ยท Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

New

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

New

Showing results 21-40

Remote Environmental Data Scientist information

See Rochester, MN salary details

$38.1K

$124.8K

$199.7K

How much do remote environmental data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote environmental data scientist in Rochester, MN is $124,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,200.00 per year, depending on experience, location, and employer.

What is a remote environmental data scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

How does a remote environmental data scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

What are the key skills and qualifications needed to thrive as a remote environmental data scientist?

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are the most commonly searched types of Environmental Data Scientist jobs in Rochester, MN? The most popular types of Environmental Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Remote Environmental Data Scientist jobs in Rochester, MN? For Remote Environmental Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Scientist jobs in Rochester, MN look for? The top searched job categories for Remote Environmental Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Remote Environmental Data Scientist jobs? Cities near Rochester, MN with the most Remote Environmental Data Scientist job openings:
Infographic showing various Remote Environmental Data Scientist job openings in Rochester, MN as of July 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,763 per year, or $60 per hour.

Product Development Chemist - AI Trainer - Remote

micro1 AI

Rochester, MN โ€ข Remote

$70 - $90/hr

Part-time

Posted 8 days ago


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.