Data Scientist, Materials Characterization

Worldwide Salaried Open

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:

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