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Data Scientist Jobs in Delaware (NOW HIRING)

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 ...

Data Innovation Lab Data Scientist * Join an innovative, like-minded team that focuses on your personal growth and accelerating your career! * Use your skills and experience for social good . * This ...

Data Scientist - FCRM

Wilmington, DE · On-site

$96K - $155K/yr

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in ...

We are seeking talented data scientists to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer ...

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Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data scientist in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Delaware? The most popular types of Data Scientist jobs in Delaware are:
What are popular job titles related to Data Scientist jobs in Delaware? For Data Scientist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Delaware look for? The top searched job categories for Data Scientist jobs in Delaware are:
What cities in Delaware are hiring for Data Scientist jobs? Cities in Delaware with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in DE? For Data Scientist jobs in DE, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

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Posted 8 days ago


International Flavors & Fragrances rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 538 rated manufacturers


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


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