Research Data Modeling Scientist (Hybrid)

DSM-Firmenich AG; Princeton (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

DSM-Firmenich AG in Princeton, NJ is seeking a Scientist, Research Data Modeling to design and deliver data models that transform diverse scientific, experimental, and operational data into trusted, reusable, and AI-ready assets.

You will collaborate with senior data modelers, scientists, data engineers, data governance specialists, and platform teams to support research data products across formulation, ingredient discovery, and laboratory workflows.

Qualifications

• Degree in a scientific/engineering/data field with relevant research or data modeling experience.
• Hands-on data modeling across conceptual, logical, and/or physical levels.
• Familiarity with FAIR principles, metadata, data governance, and reusable data products.
• Experience with Databricks or similar enterprise data platforms is preferred.

Responsibilities

• Design and maintain data models for research and scientific data domains.
• Collaborate with scientists, data engineers, and governance teams to translate requirements into practical data structures.
• Translate ambiguous requirements into structured data models and support analytics/AI-ready data assets.

Skills

Data modeling

Communication

Analytical thinking

Cross-functional collaboration

Education

PhD/Master/Bachelor degree

Tools

Databricks

Delta Lake

dbt

SQL

Python

Cloud platforms

Job description

DSM-Firmenich AG in Princeton, NJ is seeking a Scientist, Research Data Modeling to design and deliver data models that transform diverse scientific, experimental, and operational data into trusted, reusable, and AI-ready assets.

You will collaborate with senior data modelers, scientists, data engineers, data governance specialists, and platform teams to support research data products across formulation, ingredient discovery, and laboratory workflows.