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Research and Development Immediate Supervisor: R&D Vice President Status: Exempt Salaried Position ... Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...
Research and Development Immediate Supervisor: R&D Vice President Status: Exempt Salaried Position ... Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...
Research and Development Immediate Supervisor: R&D Vice President Status: Exempt Salaried Position ... Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...
Research and Development Immediate Supervisor: R&D Vice President Status: Exempt Salaried Position ... Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...
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Data Science Research Assistant Remote information
What are the key skills and qualifications needed to thrive as a Data Science Research Assistant (Remote), and why are they important?
What are common challenges faced by remote Data Science Research Assistants, and how can they be addressed?
What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?
| Aspect | Data Science Research Assistant Remote | Data Analyst Remote |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Statistics, or related field | Bachelor's or Master's in Data Analysis, Statistics, or related field |
| Work Environment | Remote research projects, academic or research institutions | Remote data interpretation and reporting for various industries |
| Employer & Industry Usage | Universities, research labs, tech companies | Business, finance, healthcare, marketing |
While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.
What are Data Science Research Assistants (Remote)?
- Clinical Research Associate Remote
- Clinical Research Associate Manager
- Entry Level Clinical Research Oncology
- Volunteer Icon Clinical Research
- Clinical Research Associate No Experience
- Remote Sports Science Research
- Professional International Clinical Research
- Remote Clinical Research Oncology
- Laboratory Research Assistant
- Remote Pfizer Clinical Research
Data Scientist - Materials R&D - Remote-Travel
Intertape Polymer Group (IPG)Marysville, MI • On-site, Remote
Full-time
Posted 3 days ago
Intertape Polymer Group rating
6.8
Based on 11 frontline employees who took The Breakroom Quiz
74th of 110 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
- 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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