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!