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Remote Earth Science Research Jobs in Michigan (NOW HIRING)

Must have a PhD in Engineering, Computer Science, Data Science, Physical Sciences, Business ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

The science and engineering of AI are rapidly evolving. We are looking for a lead who drives ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

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Remote Earth Science Research information

What is the difference between Remote Earth Science Research vs Remote Geologist?

AspectRemote Earth Science ResearchRemote Geologist
Required CredentialsBachelor's or higher in Earth Science, Geology, or related fields; certifications varyBachelor's or higher in Geology or Earth Science; often includes certifications like PG or PG in Geology
Work EnvironmentPrimarily desk-based research, data analysis, report writing; some fieldwork possibleMostly desk-based analysis, report writing; limited fieldwork, often remote or office-based
Employer & Industry UsageResearch institutions, universities, government agencies, environmental firmsMining companies, environmental consulting firms, government geological surveys

Remote Earth Science Research and Remote Geologist roles share similar educational backgrounds and work environments, focusing on data analysis and reporting. However, Earth Science Researchers often engage in broader research projects, while Geologists may have more fieldwork and industry-specific applications. Both roles are vital in understanding Earth's processes and are commonly sought in remote positions within the industry.

What are some common challenges faced in remote Earth science research roles, and how can they be managed?

Remote Earth science research roles often involve collaborating with team members and stakeholders across different time zones and regions, which can make communication and coordination challenging. Additionally, researchers may need to rely on digital tools for data collection, analysis, and remote sensing, which requires strong technical skills and adaptability. To manage these challenges, it's important to establish clear communication protocols, regularly check in with your team, and stay updated on new software and remote data collection methods. Flexibility and proactive problem-solving are key to thriving in this dynamic environment.

What is remote earth science research?

Remote earth science research involves studying the Earth's systems—such as its atmosphere, oceans, land, and biosphere—using remote technologies. This typically means collecting and analyzing data from satellites, drones, and other remote sensing devices rather than conducting fieldwork in person. Researchers in this field analyze images, sensor data, and models to understand natural processes, track environmental changes, and inform policy decisions. Remote earth science research is essential for monitoring climate change, natural disasters, land use, and other large-scale phenomena. It allows scientists to observe areas that are difficult or dangerous to access directly.

What are the key skills and qualifications needed to thrive as a Remote Earth Science Researcher, and why are they important?

To thrive as a Remote Earth Science Researcher, you need a strong background in geology, environmental science, or a related field, typically supported by an advanced degree (MSc or PhD). Proficiency in remote sensing software, GIS tools, data analysis platforms, and sometimes programming languages like Python or R is essential. Attention to detail, problem-solving abilities, and effective written communication are vital soft skills for interpreting data and collaborating with cross-functional teams. These skills enable accurate scientific analysis, facilitate remote collaboration, and drive impactful research outcomes in the earth sciences.
What are popular job titles related to Remote Earth Science Research jobs in Michigan? For Remote Earth Science Research jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Earth Science Research jobs in Michigan look for? The top searched job categories for Remote Earth Science Research jobs in Michigan are:
What cities in Michigan are hiring for Remote Earth Science Research jobs? Cities in Michigan with the most Remote Earth Science Research job openings:

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 18 days ago


Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

74th of 119 rated packaging manufacturers


Job description

Join the IPG Team!

Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions—we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!

This position can be based out of Marysville, MI, or work remotely with some travel as needed.

Title:                                 Senior Data Scientist

Department:                    Research and Development

Immediate Supervisor:   R&D Vice President

Status:                              Exempt Salaried    

 

Position Purpose:            The Senior Data Scientist will support R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.

  Principle Accountabilities
  • Partner with polymer scientists, chemists, and engineers to support bio‑polymer research and development using data-driven methods
  • Analyze and model experimental, formulation, and process data to identify structure–property–process relationships
  • Develop predictive models to support:
    • Material performance and property optimization
    • Formulation design and screening
    • Scale‑up and process optimization
  • Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
  • Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
  • Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
  • Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
  • Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
  • Understanding of data visualization best practices
  • Experience working with batch or streaming data processes a plus
  • Contribute to data dictionaries and process flow diagrams for complex data solutions
  • Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
  • Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research
Essential Skills and Experience 
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master’s or PhD preferred
  • 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Solid experience with SQL and working with structured and semi-structured datasets
  • Strong foundation in statistics, experimental design, and multivariate analysis
  • Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
  • Ability to work effectively in a cross-functional R&D environment
  • Strong communication skills with the ability to translate complex analyses into actionable insights
  • Familiarity with bio‑polymers, sustainable materials, or polymer processing, preferred
  • Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
  • Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
  • Prior experience mentoring or leading technical projects, preferred

Why Choose IPG?

At IPG, you will find more than just a job—you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.

Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.

With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!

We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.

You belong here. Join us today!


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