[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.ResponsibilitiesPartner with polymer scientists, chemists, and engineers to support bio‑polymer research and development using data-driven methodsAnalyze and model experimental, formulation, and process data to identify structure–property–process relationshipsDevelop predictive models to support: Material performance and property optimization, Formulation design and screening, Scale‑up and process optimizationDesign and analyze experiments (DOE) to maximize learning efficiency and reduce development timelinesBuild and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysisApply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasetsCollaborate with data engineering and IT teams to enable scalable data infrastructure for R&DCommunicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholdersUnderstanding of data visualization best practicesExperience working with batch or streaming data processes a plusContribute to data dictionaries and process flow diagrams for complex data solutionsMentor junior data scientists or technical staff and contribute to data science best practices within R&DStay current with advances in materials informatics, polymer modeling, and applied AI in scientific researchSkillsBachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field10+ years of professional experience in data science, applied analytics, or scientific computingStrong proficiency in Python and/or R for data analysis and modelingSolid experience with SQL and working with structured and semi-structured datasetsStrong foundation in statistics, experimental design, and multivariate analysisDemonstrated experience applying machine learning to real-world, noisy scientific or experimental dataAbility to work effectively in a cross-functional R&D environmentStrong communication skills with the ability to translate complex analyses into actionable insightsMaster's or PhDExperience working with materials science, polymer science or chemical R&D dataFamiliarity with bio‑polymers, sustainable materials, or polymer processingExperience with DOE software, laboratory data management systems (LIMS), or scientific databasesExperience deploying models to support R&D decision-making or manufacturing scale-upFamiliarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle toolsPrior experience mentoring or leading technical projectsBenefitsCompetitive payExtensive benefits that support you and your familyExciting career development opportunitiesOngoing training and the support you need to succeedCompany OverviewHeadquartered 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 SponsorshipIPG has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.