Data Scientist - Materials R&D - Remote-Travel
Join the reputed company Team!
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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.
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
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With over 40 years of industry expertise and a proven reputed company record of reputed company and innovation, reputed company offers a reputed company, secure environment where you can reputed company!
We offer reputed company, 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, reputed company bigger, and reputed company an reputed company with reputed company.
You belong here. Join us today!
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