Data Scientist - Materials R&D - Remote-Travel at Intertape Polymer Group (IPG)

Marysville, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jul, 26

Salary

0.0

Posted On

12 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data science, Statistical modeling, Machine learning, Python, R, SQL, Experimental design, Multivariate analysis, Bio-polymers, Polymer science, Predictive modeling, Data visualization, Materials informatics, Applied AI, Cloud platforms, Technical leadership

Industry

Packaging and Containers Manufacturing

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!

Responsibilities

The Senior Data Scientist will partner with scientists and engineers to apply advanced data science and machine learning to bio-polymer research and development. They will develop predictive models, design experiments, and build reproducible data workflows to accelerate innovation and optimize material performance.