Data Scientist – Materials Characterization, Analytical Sciences, AI Agents

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🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $115k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Eurofins

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

🔬 Science

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $30M Grant on 2021-10

Science • Biotechnology • Healthcare Insurance

Eurofins is a global leader in testing and laboratory services. With approximately 62,000 employees and over 900 laboratories across 62 countries, the company provides a wide range of testing services across various industries. Eurofins offers services such as food and feed testing, consumer product testing, genomic services, clinical diagnostics, forensic services, environment testing, and pharmaceutical testing. The company is committed to scientific innovation and sustainability, and it plays a critical role in testing for health, safety, and environmental impacts worldwide.

📋 Description

• Apply data science, machine learning, and AI methods to analyze and interpret materials characterization data across microscopy, spectroscopy, diffraction, and related techniques. • Design, build, and deploy AI agents that automate data analysis tasks, including data ingestion, preprocessing, feature extraction, model selection, and report generation. • Develop and maintain scalable data workflows, pipelines, and agent-based systems that improve efficiency, reproducibility, and throughput of laboratory data processing. • Implement agent-driven orchestration of multi-step analytical workflows, enabling autonomous or semi-autonomous execution of scientific data analysis. • Perform statistical analysis, feature engineering, and exploratory data analysis to identify trends, anomalies, and correlations in experimental datasets. • Build, validate, and document predictive and classification models for materials characterization, failure analysis, and process optimization. • Collaborate with scientists and engineers to translate experimental challenges into AI-augmented and agent-enabled solutions. • Support automation and standardization of data collection, processing, and reporting using both traditional pipelines and intelligent agents. • Communicate analytical insights and AI-driven results clearly to technical and non-technical stakeholders. • Contribute to continuous improvement of data infrastructure, AI capabilities, and advanced analytics platforms.

🎯 Requirements

• MS or PhD in Materials Science, Data Science, Engineering, Physics, Chemistry, Applied Mathematics, or related field. • Demonstrated experience applying data science, machine learning, or statistical methods in laboratory or engineering environments. • Proficiency in Python and scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn). • Experience working with experimental, image, spectral, sensor, or time-series data. • Experience developing or integrating AI agents, automation frameworks, or LLM-based systems for data analysis or workflow automation (e.g., LangChain, semantic orchestration frameworks, or agent-based architectures). • Strong written and verbal communication skills.

🏖️ Benefits

• 401k Company Matching • Wellness Program • Volunteer Time off • Education Assistance • Fitness Reimbursement