[Remote] Data Scientist - Materials R&D - Remote-Travel

Note The job is a remote job and is open to candidates in USA. IPG is a global leader in packaging and protective solutions, committed to innovation and sustainability. They are seeking a Senior Data Scientist to support R&D in bio-polymers and sustainable materials by applying advanced data science and machine learning to enhance material performance and accelerate innovation. Responsibilities 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 Skills Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field 10+ years of professional experience in data science, applied analytics, or scientific computing 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 Master's or PhD Experience working with materials science, polymer science or chemical R&D data Familiarity with bio‑polymers, sustainable materials, or polymer processing Experience with DOE software, laboratory data management systems (LIMS), or scientific databases Experience deploying models to support R&D decision-making or manufacturing scale-up Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools Prior experience mentoring or leading technical projects Benefits Competitive pay Extensive benefits that support you and your family Exciting career development opportunities Ongoing training and the support you need to succeed Company Overview Headquartered in Sarasota, Florida, IPG is a global provider of packaging and protective solutions across a diversified set of geographies and end-markets. It was founded in 1987, and is headquartered in Fairless Hills, Pennsylvania, USA, with a workforce of 1001-5000 employees. Its website is http//taratape.com. Company H1B Sponsorship IPG has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job

Want to see how well you match this job?