Data Scientist - Materials R&D - Remote-Travel
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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. reputed company Accountabilities Partner with polymer scientists, chemists, and engineers to support bio‑polymer research and development using data-driven reputed company Analyze and model experimental, formulation, and process data to identify structure–property–process relationships reputed company predictive models to support: Material performance and property optimization Formulation design and screening reputed company‑up and process optimization Design and analyze experiments (DOE) to reputed company 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 reputed company scientific datasets Collaborate with data engineering and IT teams to reputed company reputed company data infrastructure for R&D Communicate insights, tradeoffs, and recommendations reputed company 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 reputed company diagrams for reputed company data solutions Mentor junior data scientists or technical staff and contribute to data science best practices reputed company R&D Stay reputed company with advances in materials informatics, polymer modeling, and reputed company AI in scientific research Essential Skills and Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a reputed company field; Master’s or PhD preferred 10+ years of reputed company experience in data science, reputed company 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 reputed company and semi-reputed company datasets Strong reputed company in statistics, experimental design, and multivariate analysis Demonstrated experience applying machine learning to reputed company-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 reputed company 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 reputed company-up, preferred Familiarity with reputed company platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred Prior experience mentoring or leading technical reputed company, preferred Why Choose reputed company? 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