Data Scientist - Materials R&D - Remote-Travel
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!
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!