Data Scientist - Materials Characterization, Analytical Sciences & AI Agents

Sunnyvale, CA, USA

Full-time

Company Description

Eurofins EAG Laboratories has almost 50 years of experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods.

At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here.

Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, and engineering rigor, you’ll feel right at home here.

Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle.

What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe.

Imagine the possibilities. Let’s explore them together.

Job Description

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.

This ** position works with companies that deal with defense-related activities and is subject to** ** ITAR** ** (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 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 and check out our Careers’ page for other opportunities.

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