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Generative Ai Data Analyst Jobs in Delaware (NOW HIRING)

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract ... Expertise in data science and experience with AI frameworks. * Knowledge of natural language ...

Hands-on experience with artificial intelligence, machine learning, generative AI and intelligent agent development. * Strong statistical analysis, data visualization and problem-solving capabilities.

$150 - $190/hr

... storage, access, and analytics solutions that are secure, stable, and scalable. Your ... Training in Generative AI solutions like NLP & LLM Models * Demonstrated experience leading ...

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Generative Ai Data Analyst information

What is the difference between Generative Ai Data Analyst vs Data Scientist?

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What does a generative AI data analyst do?

A generative AI data analyst analyzes data to develop and improve AI models that generate content, such as text, images, or audio. They work with large datasets, use machine learning tools, and ensure data quality to support AI training and deployment processes.

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What are popular job titles related to Generative Ai Data Analyst jobs in Delaware?

For Generative Ai Data Analyst jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Generative Ai Data Analyst jobs in Delaware look for?

The top searched job categories for Generative Ai Data Analyst jobs in Delaware are:

What cities in Delaware are hiring for Generative Ai Data Analyst jobs?

Cities in Delaware with the most Generative Ai Data Analyst job openings:

Infographic showing various Generative Ai Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI & Data Scientist

Wilmington, DE • On-site


International Flavors & Fragrances Inc.
Chemical Manufacturing • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers

Good employer

Paid breaks

Respectful managers


$110 - $170/hr

Other

Posted 25 days ago


Job description

## AI & Data ScientistApplyremote type: On-sitelocations: Wilmington, DE, USAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R20094**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. #J-18808-Ljbffr


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