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Remote Environmental Data Scientist Jobs in Minnesota

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... By fostering an environment where people feel valued and heard, we deepen our ability to understand ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ... We are committed to mitigating our impact on the environment and enabling and delivering equitable ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star ... Experience with large-scale datasets and distributed data environments (e.g., Spark) * Experience ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

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Remote Environmental Data Scientist information

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 popular job titles related to Remote Environmental Data Scientist jobs in Minnesota?

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

What cities in Minnesota are hiring for Remote Environmental Data Scientist jobs?

Cities in Minnesota with the most Remote Environmental Data Scientist job openings:

Infographic showing various Remote Environmental Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 17% In-person, and 83% Remote job distribution.

Senior Data Scientist

通用磨坊股份有限公司

Minneapolis, MN • On-site, Remote

$184K/yr

Full-time

Medical, Retirement

Posted 14 days ago


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.