On-site AI & Data Scientist: Quality & Data Innovation

International Flavors & Fragrances Inc.; Wilmington (DE); On-site; USD 110,000 - 170,000; Full time

Job summary

International Flavors & Fragrances Inc. (IFF) seeks an AI & Data Scientist to drive data-driven quality excellence across Health & Biosciences.

The role emphasizes building scalable data pipelines, deploying AI-enabled solutions and partnering with R&D, Manufacturing and Regulatory teams in a global context. The on-site position in Wilmington, Delaware requires a strong background in Python, SQL, data integration and enterprise platforms.

Qualifications

• Bachelor’s or higher in a science/engineering field with data focus.
• ≥5 years in data science, analytics, or digital transformation roles.
• Experience with enterprise data pipelines and AI solutions.

Responsibilities

• Structure and harmonize data across Global Technical Quality systems.
• Develop and implement data science, ML and AI solutions.
• Build scalable data pipelines for diverse datasets.
• Design AI-enabled tools and automated workflows.
• Perform statistical analyses to identify trends and opportunities.
• Collaborate with R&D, Manufacturing, Regulatory Affairs and QA teams.
• Improve digital infrastructure and data architecture.
• Ensure data integrity and regulatory alignment.
• Communicate findings to cross-functional stakeholders.

Skills

Data architecture

Data modeling

Modern data science

Python

SQL

AI/ML

Data integration

Problem solving

Education

Bachelor's degree in Data Science/CS/Engineering

Master’s or Ph.D. (advantage)

Tools

LIMS

SAP

SharePoint

Microsoft 365

Job description

International Flavors & Fragrances Inc. (IFF) seeks an AI & Data Scientist to drive data-driven quality excellence across Health & Biosciences.

The role emphasizes building scalable data pipelines, deploying AI-enabled solutions and partnering with R&D, Manufacturing and Regulatory teams in a global context. The on-site position in Wilmington, Delaware requires a strong background in Python, SQL, data integration and enterprise platforms.