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Remote Sustainability Science Jobs in Michigan (NOW HIRING)

NSF

Senior Auditor - CMMC (Remote U.S.)

Ann Arbor, MI · On-site +1

$95K - $133K/yr

NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client-focused teams have ...

NSF

Senior Auditor - CMMC (Remote U.S.)

Ann Arbor, MI · On-site +1

$95K - $133K/yr

About the Team NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client ...

NSF

Senior Auditor - CMMC (Remote U.S.)

Ann Arbor, MI · On-site +1

$95K - $133K/yr

NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client-focused teams have ...

NSF

Senior Auditor - CMMC (Remote U.S.)

Ann Arbor, MI · On-site +1

$95K - $133K/yr

About the Team NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client ...

NSF

Senior Auditor - CMMC (Remote U.S.)

Ann Arbor, MI · On-site +1

$95K - $133K/yr

NSF provides a holistic suite of value-added digital, information security and sustainability solutions that span our core industries of food, water and life sciences. Our client-focused teams have ...

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Remote Sustainability Science information

What are the key skills and qualifications needed to thrive as a remote sustainability scientist, and why are they important?

To excel as a Remote Sustainability Scientist, you typically need a background in environmental science or a related field, with expertise in data analysis, research methods, and sustainability principles. Familiarity with GIS software, remote sensing tools, and data visualization platforms is often required, along with certifications such as LEED or GRI when applicable. Strong written communication, collaboration skills, and self-motivation are crucial for coordinating with dispersed teams and stakeholders. These skills ensure effective environmental research, informed decision-making, and impactful sustainability initiatives in a remote work context.

What is remote sustainability science?

Remote sustainability science is a field that uses remote sensing technologies, such as satellite imagery and aerial data, to study and address environmental and sustainability challenges. Professionals in this field analyze data from afar to monitor land use, natural resources, climate change impacts, and ecosystem health. This work supports efforts to make informed decisions about conservation, resource management, and sustainable development, often without the need for on-site visits. Remote sustainability science is crucial for tracking global environmental trends and supporting sustainable policies.

How do remote sustainability science professionals typically collaborate with interdisciplinary teams?

Remote sustainability science professionals often work closely with experts in fields such as ecology, policy, data analysis, and engineering. Collaboration is usually facilitated through digital tools like video conferencing, shared documents, and project management platforms. Effective communication and coordination are key, as projects often require integrating diverse perspectives and datasets to address complex environmental issues. Regular virtual meetings, clear documentation, and shared digital workspaces help ensure that all team members stay aligned and contribute effectively.
What are popular job titles related to Remote Sustainability Science jobs in Michigan? For Remote Sustainability Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Sustainability Science jobs in Michigan look for? The top searched job categories for Remote Sustainability Science jobs in Michigan are:
What cities in Michigan are hiring for Remote Sustainability Science jobs? Cities in Michigan with the most Remote Sustainability Science job openings:
Remote Sustainability Science jobs near you

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 29 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

73rd 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 willsupport 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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