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Remote Environmental Data Scientist Jobs in Minnesota

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$145K - $336K/yr

Experience working in multi-functional environments spanning systems architecture, engineering ... data science, and IT. The US base salary range that Micron Technology estimates it could pay for ...

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 ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... learn in a dynamic environment Preferred: * Prior exposure to claims databases (Medicare ...

Showing results 21-40

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.

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.

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 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 job categories do people searching Remote Environmental Data Scientist jobs in Minnesota look for?

The top searched job categories for Remote Environmental Data Scientist jobs in Minnesota 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.

ASIC Gen-AI Data Scientist

Micron

Minneapolis, MN • On-site, Remote

$145K - $336K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 161 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn,communicateand advance faster than ever!

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows.

You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design,Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency.

Key Responsibilities

  • GenAI System Development:Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.
  • LLM Workflow Engineering:Build, evaluate, andoptimizeLLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
  • Machine Learning Production:Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
  • Cross-Functional Collaboration:Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
  • Production Deployment:Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
  • Technical Communication:Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.
  • Innovation Leadership:Identifyand drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes!

Minimum Qualifications

  • Bachelor'swith 10+ years orMaster's degree with 8+ inElectricalEngineering, Computer Science, Data Science, Statistics, Artificial Intelligence, ora relatedfield
  • Minimum 4 years of hands-on experience developing and deploying AI applications insemiconductors, electronics, orother engineeringindustries.
  • Strong programmingproficiencyin Python.
  • Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Cursor, Gemini CLI, or similar tools.
  • Practical experience in developing and implementing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.

Preferred Qualifications

  • Experience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.
  • Deep understanding of semiconductor-specific AI/ML applications
  • Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.
  • Experience with LLM training, inference, andevaluationworkflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.
  • Experience with data analytics and visualization to deliver actionable engineering insights using tools and libraries such as pandas, scikit-learn, matplotlib,plotly, or similar ecosystems.
  • Experience with web application technologies such as JavaScript, HTML, and CSS.
  • Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness.
  • Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content.
  • Experience working in multi-functional environments spanning systems architecture, engineering, data science, and IT.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$145,000.00 - $336,000.00 a year

Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location.The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations.Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs.Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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