Senior Data Scientist — Materials R&D (Remote/Travel)
# Senior Data Scientist — Materials R&D (Remote/Travel)
## About the Role
IPG is seeking a Senior Data Scientist to advance bio-polymers and sustainable materials through advanced data science, statistics, and machine learning. This role partners with polymer scientists, chemists, and engineers to accelerate materials development cycles and improve material performance.
The successful candidate will support R&D data workflows, design of experiments (DOE), and scalable analytics across experimental and process data. The position offers remote work with travel requirements as needed.
## Key Responsibilities
- Apply advanced data science, statistical methods, and machine learning to bio-polymer and sustainable materials R&D.
- Collaborate with polymer scientists, chemists, and engineers on materials development initiatives.
- Analyze experimental and process data to accelerate development cycles.
- Support R&D data workflows and scalable analytics.
- Apply design of experiments (DOE) approaches to R&D activities.
- Develop analytical approaches that help improve material performance.
- Work with cross-functional technical teams to support data-driven R&D decisions.
## Required Qualifications
- No specific mandatory education, years of experience, technical tools, or certifications are provided in the source job description.
## Preferred Qualifications
- Experience applying data science to materials R&D.
- Experience with bio-polymers or sustainable materials.
- Experience working with polymer scientists, chemists, or engineers.
- Experience with statistics and machine learning.
- Experience with design of experiments (DOE).
- Experience analyzing experimental and process data.
- Experience developing scalable analytics and R&D data workflows.
## Skills & Competencies
- Data science
- Statistical analysis
- Machine learning
- Experimental data analysis
- Process data analysis
- Design of experiments (DOE)
- Scalable analytics
- R&D data workflows
- Materials data analysis
- Data-driven problem-solving
- Cross-functional collaboration
- Materials performance analysis
## Education & Experience
**Education**
- No specific education requirement is provided.
**Experience**
- No specific years of experience requirement are provided.
- Relevant experience in data science, statistics, machine learning, materials R&D, experimental data, or process data is applicable.
## Work Arrangement & Schedule
- **Work Arrangement:** Remote
- **Location:** Marysville, MI, US
- **Employment Type:** Not specified.
- **Expected Weekly Hours:** Not specified.
- **Travel:** Travel is required as needed.
## Compensation & Benefits
- **Compensation:** USD; specific salary or hourly compensation is not provided.
- **Benefits:** Not specified in the provided job description.
## Compliance / Additional Information
- The role supports research and development involving bio-polymers and sustainable materials.
- Remote work and travel are required as needed.