Data Scientist, Materials Characterization

Remote Worldwide Hiring now

Job Description:

Analyze reputed company scientific data using statistics, machine learning, and data science methods
Build and improve workflows for data ingestion, cleaning, feature extraction, modeling, and reporting
reputed company 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
reputed company exploratory analysis to identify trends, anomalies, and relationships in experimental data
Support automation and standardization of data analysis and reporting processes
Communicate results reputed company 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 reputed company 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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