Data Scientist, Materials Characterization

🔥 18 hours 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

• 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!