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Food Data Scientist Jobs in Delaware (NOW HIRING)

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We ... Develop and implement data science, machine learning and artificial intelligence solutions that ...

Associate Scientist

Newark, DE

$22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Associate Scientist is responsible for accurate data collection, experimental maintenance, and ... Basic understanding of agriculture, food production, crop protection * Knowledge of weed ...

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We ... We combine scientific expertise, data-driven insights, and cutting-edge technologies to solve ...

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences ... Perform statistical quality control (SQC) analysis and data-driven evaluations to identify trends ...

Senior Scientist, Bioanalytics

Wilmington, DE · On-site

$88K - $121K/yr

Job Summary Are you ready to apply your bioanalytical expertise and data-driven mindset to help shape global product quality? IFF is a global leader in flavors, fragrances, food ingredients and ...

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Food Data Scientist information

What is the difference between Food Data Scientist vs Food Analyst?

AspectFood Data ScientistFood Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Food Science, Nutrition, or related field; analytical skills
Work EnvironmentData-driven projects, research labs, or R&D departmentsQuality control, product testing, or market research in food companies
Employer & Industry UsageFood manufacturing, research institutions, tech companiesFood production, retail, government agencies

Food Data Scientists focus on analyzing large datasets to optimize food products and processes, while Food Analysts primarily evaluate food quality, safety, and compliance. Both roles are essential in the food industry but differ in their core responsibilities and skill sets.

What is a food data scientist?

Food Data Scientists are professionals who use data analysis, machine learning, and statistical methods to solve problems in the food industry. They analyze large datasets from sources like food production, quality control, consumer preferences, and supply chains to optimize processes, improve food safety, and develop new products. Their work helps companies make data-driven decisions on product development, marketing, and resource management, ultimately enhancing efficiency and innovation in the food sector.

What are the key skills and qualifications needed to thrive as a food data scientist, and why are they important?

To thrive as a Food Data Scientist, you need a strong background in statistics, data analysis, and food science, typically supported by a relevant degree such as food technology, data science, or a related field. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with experience using food industry databases. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to diverse stakeholders. These skills are crucial because they enable you to drive innovation, ensure food quality, and support data-driven decision-making in the food industry.

How does a food data scientist typically collaborate with cross-functional teams in the food industry?

Food Data Scientists often work closely with product developers, nutritionists, quality assurance teams, and marketing professionals. Their role involves analyzing large datasets to uncover trends in consumer preferences, ingredient performance, and supply chain efficiency. Effective communication is key, as they must translate complex data findings into actionable insights for colleagues who may not have a technical background. This collaborative environment fosters innovation and ensures that data-driven decisions positively impact product development and business strategies.

Is there a demand for food data scientists?

Food data scientists are in increasing demand as the food industry seeks to optimize supply chains, improve product development, and analyze consumer preferences using data analytics and machine learning tools. The role often requires skills in data analysis, programming, and knowledge of food science or nutrition, with job growth expected to continue as data-driven decision making becomes more prevalent in the sector.

What are popular job titles related to Food Data Scientist jobs in Delaware?

For Food Data Scientist jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Food Data Scientist jobs in Delaware look for?

The top searched job categories for Food Data Scientist jobs in Delaware are:

What cities in Delaware are hiring for Food Data Scientist jobs?

Cities in Delaware with the most Food Data Scientist job openings:

AI & Data Scientist

Iff

Wilmington, DE

Full-time

Posted 16 days ago


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