Data Scientist - Materials R&D - Remote-Travel
Remote · United States or Marysville, Michigan, United States
Job Summary
Senior Data Scientist in IPG's R&D group focusing on bio-polymers and sustainable materials. Lead data-driven exploration and modeling to accelerate material innovation, design and optimize formulations, support scale-up, and build reproducible data workflows. Develop predictive models for material performance and property optimization; design experiments (DOE); apply ML techniques (regression, classification, clustering, time-series); collaborate with polymer scientists, chemists, and engineers; mentor junior data scientists; communicate insights to stakeholders and stay current with materials informatics and AI in research.
Required Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or related field; Master’s or PhD preferred
- 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
- 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
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