Data Scientist, Materials Characterization

Job Description

Eurofins EAG Laboratories is hiring a Data Scientist to improve scientific data analysis, workflow automation, and AI-supported decision-making across our materials characterization and analytical testing services.

Please note: This is not a general business analytics or software-only data science role. Candidates should have experience applying data science or machine learning to scientific, laboratory, engineering, or experimental data and have had experience operating and performing analysis using materials characterization instrumentation.

This role is best suited for someone who has applied data science in a laboratory, engineering, or scientific environment and can work with complex datasets such as spectral, image, surface, sensor, or time-series data. The Data Scientist will build practical tools and workflows that improve data quality, analysis speed, and reporting in a production lab setting.

What You’ll Do

• 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

Qualifications

Minimum Job 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

Preferred Qualifications

• Experience with materials characterization techniques (e.g., XPS, AES, SIMS, microscopy, spectroscopy)
• Familiarity with spectroscopy workflows (peak fitting, quantification, chemical state analysis)
• Experience with PyTorch, TensorFlow, or similar frameworks
• Experience with multimodal scientific datasets
• Experience developing or integrating AI-enabled workflow tools, including LLM-based systems
• Familiarity with signal processing, spectral analysis, or feature extraction
• Experience in analytical services, failure analysis, or process optimization environments

What Success Looks Like

• Builds solutions that improve analysis speed, quality, and reproducibility
• Applies data science methods appropriately to complex scientific datasets
• Works effectively with scientists and lab teams in a production environment
• Delivers practical, usable outputs—not just theoretical models

Work Authorization Requirement

This role supports work subject to U.S. export control regulations (ITAR).

To be eligible, candidates must be authorized to access export-controlled information under U.S. law. This typically includes individuals who are:

• U.S. citizens
• U.S. lawful permanent residents (Green Card holders)
• Individuals granted asylum or refugee status in the United States

The company will confirm eligibility for access to export-controlled information as part of the hiring process.

Additional Information

Base salary is determined by a variety of factors including, but not limited to, the candidate's primary work location, education, training, and experience. The expected salary range for this role varies by location and business need. Please discuss your specific location with the hiring team during the interview process.

Physical Requirements:  

• Physical dexterity sufficient to use hands, arms, and shoulders repetitively to operate a keyboard, phone and other office equipment. 
• Ability to sit for periods of time
• Ability to communicate clearly and understandably with sufficient volume to ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting
• Ability to continuously operate a personal computer for extended periods of time (4 or more hours)

The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. If you have a disability or special need, we would like to know how we can better accommodate you.     

What It’s Like to Work Here:

• Teamwork:  Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey while you work with us.
• Learning & Development: Take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader.
• Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day.

Benefits & Perks to Foster Work/Life Balance:

✓ 401k Company Matching

✓ Wellness Program

✓ Volunteer Time off

✓ Education Assistance

✓ Fitness Reimbursement

✓ …and more!

If you enjoy being immersed in technology, tackling problems head-on, finding solutions through teamwork, and taking pride in accomplishments, join us today!

Be a part of a dynamic group that fosters a welcoming environment, dedicating time and resources to training new team members, as well as sharing, developing, and implementing new ideas.

Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law.  The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. 

Learn more about us at www.EAG.com and check out our Careers’ page for other opportunities.

Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.