AI & Data Scientist

International Flavors and Fragrances; Wilmington (DE); On-site; USD 130,000 - 190,000; Full time

Job summary

International Flavors and Fragrances (IFF) in Wilmington, Delaware, is seeking a data science and AI leader to drive quality operations and accelerate scientific decision-making on-site. You will work with cross-functional teams to implement data-driven solutions across global platforms.

Responsibilities include building scalable data pipelines, developing AI-enabled tools, and partnering with R&D, Manufacturing and Quality to advance data-driven practices.

Qualifications

• Bachelor's degree in a data-related field is required.
• 5+ years in data science, analytics, data engineering or digital transformations.
• Experience with enterprise data platforms and data pipelines.

Responsibilities

• Structure and harmonize data across Global Technical Quality systems.
• Develop data science and AI solutions to enhance quality processes.
• Build scalable data pipelines for structured and unstructured data.

Skills

Python

SQL

Data integration

Data transformation

Automation tools

Data architecture

Data modeling

AI/ML

Education

Bachelor's degree in Data Science, CS, or related field

Master's or Ph.D in Data Science / AI / Analytics

Tools

LIMS

SAP

SharePoint

Microsoft 365

Job description

Job Summary

Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making?

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.

Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.

The role is based in Wilmington, Delaware, United States (on-site role). Be part of a collaborative, innovative and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference

• Structure, harmonize and manage data across Global Technical Quality systems, including Laboratory Information Management Systems (LIMS), SAP, SharePoint and other digital platforms.
• Develop and implement data science, machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making.
• Build and maintain scalable data pipelines supporting structured and unstructured laboratory, manufacturing and technical datasets.
• Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve productivity and streamline technical operations.
• Perform statistical analyses to identify trends, deviations and opportunities for continuous improvement across quality systems.
• Partner closely with Research & Development, Manufacturing, Regulatory Affairs and Global Quality Assurance teams to advance data-driven quality best practices.
• Contribute to the continuous improvement of digital infrastructure, data architecture and Global Technical Quality workflows.
• Ensure data integrity, regulatory compliance and alignment with quality standards and expectations.
• Communicate technical findings, recommendations and business insights clearly to cross-functional stakeholders.

What Makes You the Right Fit

• Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field.
• At least five years of experience in data science, analytics, data engineering or digital transformation roles.
• Strong expertise in data architecture, data modeling and modern data science methodologies.
• Advanced proficiency in Python, SQL and data integration, transformation and automation tools.
• Experience designing, developing and maintaining enterprise data pipelines for structured and unstructured data sources.
• Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development.
• Strong statistical analysis, data visualization and problem-solving capabilities.
• Experience with enterprise platforms such as LIMS, SAP, SharePoint and Microsoft 365 tools.
• Demonstrated ability to learn new business domains quickly, understand how data is stored and used, and identify opportunities to increase productivity through data-driven solutions.

How Would You Stand Out?

• Master's or Ph.D degree in Data Science, Artificial Intelligence, Applied Analytics, Data Engineering or a related discipline.
• Experience working with biotechnology, biochemistry, scientific research or laboratory environments.
• Proven track record developing AI-enabled solutions such as Microsoft Copilot experiences, knowledge bases, agentic workflows and automation platforms.

Why Choose Us?

• Opportunity to work on innovative AI and data science initiatives that directly impact global quality operations.
• Exposure to diverse scientific, laboratory and manufacturing datasets across a global organization.
• Collaboration with experts across Research & Development, Quality, Manufacturing and Digital Technology teams worldwide.
• Continuous learning and professional development opportunities in emerging technologies, artificial intelligence and data science.
• Inclusive workplace that values diverse perspectives, curiosity and innovation.
• Ability to help shape the future of AI-enabled quality excellence across Health & Biosciences.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more