Data Scientist, Materials Characterization
Job Description:
- Analyze complex scientific data using statistics, machine learning, and data science methods
- Build and improve workflows for data ingestion, cleaning, feature extraction, modeling, and reporting
- Develop AI-enabled tools or workflow automation to support repeatable scientific analysis tasks
- Partner with scientists, engineers, and operations teams to solve practical lab data problems
- Build, test, validate, and document predictive or classification models for scientific applications
- Perform exploratory analysis to identify trends, anomalies, and relationships in experimental data
- Support automation and standardization of data analysis and reporting processes
- Communicate results clearly to both technical and non-technical stakeholders
- Contribute to scalable, reproducible data workflows that improve lab efficiency
Requirements:
- A Degree in Data Science or Computer Science AND MS or PhD in Materials Science, Engineering, Physics, Chemistry or related field
- Hands-on experience applying data science or machine learning in a scientific, laboratory, manufacturing, or engineering environment
- Strong Python skills (NumPy, Pandas, SciPy, scikit-learn)
- Experience working with experimental, spectral, image, sensor, or time-series data
- Experience analyzing data generated from materials characterization instrumentation
- Experience building data workflows, automation tools, or applied AI solutions
- Strong written and verbal communication skills
Benefits:
- 401k Company Matching
- Wellness Program
- Volunteer Time off
- Education Assistance
- Fitness Reimbursement
- …and more!
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