Data Scientist Materials Characterization, Analytical Sciences & AI Agents

Eurofins EAG Laboratories is seeking a Data Scientist to advance data-driven analysis intelligent automation and AI-enabled decision support across materials characterization and analytical testing services.

This role applies data science statistics machine learning and AI agent development to complex multi-modal laboratory data. The Data Scientist will design and deploy AI agents capable of automating data analysis workflows orchestrating multi-step scientific reasoning and accelerating insight generation.

The role partners with scientists engineers and operations to strengthen data quality automation and analytics for client testing work. Strong candidates have experience working with materials characterization data (e.g. XPS and other spectral/surface datasets) and understand spectroscopy workflows like peak fitting quantification and chemical state analysis

Essential Job Functions

• 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.

Thisposition works with companies that deal with defense-related activities and is subject toITAR(International Traffic in Arms Regulations).

All considered applicants must be U.S. Persons as defined by ITAR: U.S. Citizen U.S. Permanent Resident (i.e. Green Card Holder) or Political Asylee or Refuge.

Qualifications :

Minimum Job 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.

Job Knowledge Skills and Ability

• Strong foundation in statistics applied machine learning and scientific data analysis.
• Ability to evaluate model performance and understand limitations of complex scientific datasets.
• Familiarity with ML frameworks such as PyTorch or TensorFlow.
• Understanding of AI agent architectures (prompting tool integration RAG multi-agent workflows).
• Experience with data visualization and scientific reporting.
• Ability to analyze and interpret materials characterization data including spectral and surface-sensitive datasets (e.g. XPS).
• Familiarity with spectroscopy or surface analysis workflows (peak fitting quantification chemical state analysis).
• Ability to work collaboratively in a client-focused analytical services environment.

Preferred: Advanced Machine Learning AI & Agent Systems

• Experience applying deep learning or representation learning to scientific datasets.
• Familiarity with multi-modal data modeling (image spectral time-series).
• Experience working with surface analysis or spectroscopy datasets (e.g. XPS AES SIMS) in a research or industry setting.
• Hands-on experience designing AI agents for scientific workflows including autonomous analysis and decision logic.
• Exposure to modern neural architectures (CNNs transformers).
• Knowledge of signal processing spectral deconvolution or feature extraction for materials data.
• Experience with agent lifecycle practices (evaluation monitoring governance).

Additional Information :

Base salary is determined by a variety of factors including but not limited to the candidates 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 Its 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 Companys policy is to recruit hire train promote and administer all employment-related matters based on an individuals qualifications abilities and efforts without regard to protected status. 

Learn more about us at  and check out our Careers page for other opportunities.

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

Remote Work :

Yes

Employment Type :

Full-time