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Permanent Remote Materials Science Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Materials Engineer

Warren, MI · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246857 Location: Warren,MI,US Share job via: Share Materials Engineer ... Bachelor's degree in materials engineering, materials science, metallurgical engineering, polymer ...

Mercor

Materials Engineering QA Reviewer

New York, NY · Remote

$90/hr

Remote Duration: 3-week engagement (6/5-6/25) Role Responsibilities * Evaluate STEM problem prompts ... MS or PhD in Materials Science / Materials Engineering or closely related field. * Ability to ...

GovernmentJobs.com

Remote Nutritionist-Hourly

$30/hr

Normally permanent labor positions are eligible for Health Insurance benefits. We protect lives ... Develop or utilize approved nutrition education materials. * Provide virtual nutrition services to ...

GovernmentJobs.com

Remote Nutritionist-Hourly

$30/hr

Normally permanent labor positions are eligible for Health Insurance benefits. We protect lives ... Develop or utilize approved nutrition education materials. * Provide virtual nutrition services to ...

State of Washington

Outreach Specialist

Olympia, WA · On-site +1

$50K - $67K/yr

Multiple Locations Statewide, WA Job Type: Full Time - Non-Permanent Remote Employment: Remote Only ... Activities and materials will be researched and evaluated for effectiveness. This position will ...

Managed Staffing

Biocompatibility Scientist

FL · Remote

$145 - $150/hr

Remote (Client HQ: Gainesville, FL - No relocation required) Job Summary We are seeking an ... D. in Biology, Biomedical Engineering, Toxicology, Materials Science, or related field. * Strong ...

Mat3ra

Grant Writer

Walnut Creek, CA · On-site +1

$100K - $140K/yr

V.I.S. for materials RnD ( We look for people with strong technical backgrounds (Scientists ... This is a full-time permanent position. Responsibilities * finding, planning, and writing grant ...

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How much do permanent remote materials science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for permanent remote materials science in the United States is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $167,000.00 per year, depending on experience, location, and employer.
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Permanent Remote Materials Science jobs near you
Infographic showing various Permanent Remote Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $123,973 per year, or $59.6 per hour.

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 8 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 120 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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